diff --git a/.travis.yml b/.travis.yml index 9b99144e..bb35c053 100644 --- a/.travis.yml +++ b/.travis.yml @@ -23,8 +23,8 @@ r: before_install: - sudo apt-get -y install libx11-dev mesa-common-dev libglu1-mesa-dev - sudo apt-get -y install python3 python3-pip python3-setuptools - - sudo -H pip3 install --upgrade pip setuptools - - sudo -H pip3 install --ignore-installed numpy tensorflow keras + - sudo -H pip3 install --quiet --progress-bar off --upgrade pip setuptools + - sudo -H pip3 install --quiet --progress-bar off --ignore-installed numpy tensorflow keras #- Rscript -e 'update.packages(ask = FALSE)' r_packages: diff --git a/DESCRIPTION b/DESCRIPTION index 4a24e828..e8190c42 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -86,13 +86,9 @@ Suggests: caret, mgcv Remotes: - github::osofr/simcausal, github::osofr/condensier, - github::tlverse/delayed, - github::tlverse/origami, github::tlverse/hal9001, github::nhejazi/haldensify, - github::vdorie/dbarts, github::tpospisi/RFCDE/r License: GPL-3 URL: https://tlverse.org/sl3 @@ -104,4 +100,4 @@ VignetteBuilder: knitr, R.rsp RoxygenNote: 7.0.2 -Roxygen: list(markdown = TRUE) +Roxygen: list(markdown = TRUE, old_usage = TRUE, r6 = FALSE) diff --git a/R/Lrnr_bilstm.R b/R/Lrnr_bilstm.R index aa41e41c..02e0b20a 100644 --- a/R/Lrnr_bilstm.R +++ b/R/Lrnr_bilstm.R @@ -76,13 +76,13 @@ Lrnr_bilstm <- R6Class( # Build the model model <- kerasR::Sequential() - #keras::bidirectional( + # keras::bidirectional( # object = model, layer = kerasR::LSTM(args$units, # return_sequences = TRUE # ), # input_shape = c(num_steps, num_features) - #) - model$add(kerasR::Bidirectional(kerasR::LSTM(args$units,return_sequences = TRUE))) + # ) + model$add(kerasR::Bidirectional(kerasR::LSTM(args$units, return_sequences = TRUE))) model$add(kerasR::Dropout(rate = args$dropout)) model$add(kerasR::Flatten()) model$add(kerasR::Dense(args$dense)) diff --git a/R/Lrnr_lstm.R b/R/Lrnr_lstm.R index 7b0b36cc..0c4bb259 100644 --- a/R/Lrnr_lstm.R +++ b/R/Lrnr_lstm.R @@ -85,7 +85,7 @@ Lrnr_lstm <- R6Class( epochs = args$epochs ) fit_object <- model - + return(fit_object) }, diff --git a/R/Lrnr_sl.R b/R/Lrnr_sl.R index 3952a09b..f6e77f90 100644 --- a/R/Lrnr_sl.R +++ b/R/Lrnr_sl.R @@ -83,11 +83,11 @@ Lrnr_sl <- R6Class( return(private$.fit_object$cv_meta_fit$fit_object) }, cv_risk = function(loss_fun) { - + # get risks for cv learners (nested cv) cv_stack_fit <- self$fit_object$cv_fit stack_risks <- cv_stack_fit$cv_risk(loss_fun) - + coefs <- self$coefficients if (!is.null(coefs)) { ordered_coefs <- coefs[match(stack_risks$learner, names(coefs))] @@ -96,7 +96,7 @@ Lrnr_sl <- R6Class( ordered_coefs <- rep(NA, length(stack_risks$learner)) } set(stack_risks, , "coefficients", ordered_coefs) - + # Make sure that coefficients is the second column, even if the metalearner # did not provide coefficients. data.table::setcolorder(stack_risks, c(names(stack_risks)[1], "coefficients")) diff --git a/README.Rmd b/README.Rmd index 72c1421d..ba45e657 100644 --- a/README.Rmd +++ b/README.Rmd @@ -26,8 +26,7 @@ knitr::opts_chunk$set( [![License: GPL v3](https://img.shields.io/badge/License-GPL%20v3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0) [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3558317.svg)](https://doi.org/10.5281/zenodo.3558317) -> A modern implementation of the Super Learner algorithm for ensemble learning -> and model stacking +> A modern implementation of the Super Learner ensemble learning algorithm __Authors:__ [Jeremy Coyle](https://github.com/jeremyrcoyle), [Nima Hejazi](https://nimahejazi.org), [Ivana @@ -138,9 +137,9 @@ head(preds) ## Learner Properties -You can find the properties that sl3 learners support in the table below: +Properties supported by `sl3` learners are presented in the following table: -```{r warning=FALSE, echo = FALSE, message = FALSE} +```{r sl3-learner-properties, warning=FALSE, echo = FALSE, message = FALSE} library(sl3) library(kableExtra) @@ -164,25 +163,30 @@ get_learner_class_properties <- function(learner_class) { } learner_property_lst <- lapply(all_learners, get_learner_class_properties) -# get a list where each element is a list of True/False's indicating whether a learner has a property or not +# get a list where each element is a list of logicals indicating whether a +# learner has a property or not get_learner_class_properties_ownership <- function(properties) { return(sl3_list_properties() %in% unlist(properties)) } -learner_property_ownership_mat <- lapply(learner_property_lst, get_learner_class_properties_ownership) +learner_property_ownership <- lapply(learner_property_lst, + get_learner_class_properties_ownership) get_learner_name <- function(learner_class) { return(learner_class$classname) } learner_names <- lapply(all_learners, get_learner_name) -# generate the data matrix, whose columns are properties and rows are learner names -final_mat <- matrix(unlist(learner_property_ownership_mat), nrow = length(learner_property_ownership_mat), ncol = length(sl3_list_properties()), byrow = TRUE) +# generate matrix whose columns are properties and rows are learner names +final_mat <- matrix(unlist(learner_property_ownership), + nrow = length(learner_property_ownership), + ncol = length(sl3_list_properties()), byrow = TRUE) dimnames(final_mat) <- list(unlist(learner_names), sl3_list_properties()) final_mat.df <- as.data.frame(final_mat) char_final_mat.df <- ifelse(final_mat.df == TRUE, "√", "x") kable(char_final_mat.df) %>% - kable_styling(bootstrap_options = c("striped", "hover", "condensed", "responsive")) %>% + kable_styling(bootstrap_options = c("striped", "hover", "condensed", + "responsive")) %>% scroll_box(width = "100%", height = "200px", fixed_thead = T) ``` @@ -201,23 +205,23 @@ submitting a pull request. After using the `sl3` R package, please cite the following: - @manual{coyle2019sl3, + @manual{coyle2020sl3, author = {Coyle, Jeremy R and Hejazi, Nima S and Malenica, Ivana and Sofrygin, Oleg}, title = {{sl3}: Modern Pipelines for Machine Learning and {Super Learning}}, - year = {2019}, + year = {2020}, howpublished = {\url{https://github.com/tlverse/sl3}}, - note = {{R} package version 1.3.5}, - url = {https://doi.org/10.5281/zenodo.3558317}, - doi = {10.5281/zenodo.3558317} + note = {{R} package version 1.3.7}, + url = {}, + doi = {} } --- ## License -© 2017-2019 [Jeremy R. Coyle](https://github.com/jeremyrcoyle), [Nima S. +© 2017-2020 [Jeremy R. Coyle](https://github.com/jeremyrcoyle), [Nima S. Hejazi](https://nimahejazi.org), [Ivana Malenica](https://github.com/podTockom), [Oleg Sofrygin](https://github.com/osofr) diff --git a/inst/CITATION b/inst/CITATION index 80ad4a6a..b9ba5f85 100644 --- a/inst/CITATION +++ b/inst/CITATION @@ -11,5 +11,5 @@ bibentry(bibtype = "Manual", person("Oleg", "Sofrygin")), year = year, note = note, - doi = "10.5281/zenodo.3558317", + doi = "", url = "https://github.com/tlverse/sl3") diff --git a/man/Custom_chain.Rd b/man/Custom_chain.Rd index 7103db70..aac31b64 100644 --- a/man/Custom_chain.Rd +++ b/man/Custom_chain.Rd @@ -7,8 +7,6 @@ \title{Customize chaining for a learner} \format{\code{\link{R6Class}} object.} \usage{ -Custom_chain - customize_chain(learner, chain_fun) } \arguments{ @@ -26,6 +24,12 @@ This function wraps a learner in such a way that the behavior of \code{learner$chain} is modified to use a new function definition. \code{learner$train} and \code{learner$predict} are unaffected. } +\section{Fields}{ + +\describe{ +\item{\code{params}}{A list of learners to chain.} +}} + \section{Methods}{ \describe{ @@ -36,44 +40,6 @@ should be applied.} } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Lrnr_HarmonicReg}}, - \code{\link{Lrnr_arima}}, \code{\link{Lrnr_bartMachine}}, - \code{\link{Lrnr_base}}, \code{\link{Lrnr_bilstm}}, - \code{\link{Lrnr_caret}}, \code{\link{Lrnr_condensier}}, - \code{\link{Lrnr_cv}}, \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_h2o_grid}}, \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, @@ -132,78 +98,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Custom_chain} -} -\section{Public fields}{ -\if{html}{\out{
}} -\describe{ -\item{\code{params}}{A list of learners to chain.} -} -\if{html}{\out{
}} -} -\section{Active bindings}{ -\if{html}{\out{
}} -\describe{ -\item{\code{params}}{A list of learners to chain.} -} -\if{html}{\out{
}} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Custom_chain$new()}} -\item \href{#method-clone}{\code{Custom_chain$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Custom_chain$new(learner, chain_fun)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Custom_chain$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_HarmonicReg.Rd b/man/Lrnr_HarmonicReg.Rd index c3809614..d04011a6 100644 --- a/man/Lrnr_HarmonicReg.Rd +++ b/man/Lrnr_HarmonicReg.Rd @@ -5,9 +5,6 @@ \alias{Lrnr_HarmonicReg} \title{Harmonic Regression} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_HarmonicReg -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -31,44 +28,6 @@ forecast of size \code{task$X}.} } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_arima}}, \code{\link{Lrnr_bartMachine}}, - \code{\link{Lrnr_base}}, \code{\link{Lrnr_bilstm}}, - \code{\link{Lrnr_caret}}, \code{\link{Lrnr_condensier}}, - \code{\link{Lrnr_cv}}, \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_h2o_grid}}, \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_arima}}, @@ -127,64 +86,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_HarmonicReg} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_HarmonicReg$new()}} -\item \href{#method-clone}{\code{Lrnr_HarmonicReg$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_HarmonicReg$new(Kparam, n.ahead = NULL, freq, ...)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_HarmonicReg$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_arima.Rd b/man/Lrnr_arima.Rd index 14c1c960..c3f63cda 100644 --- a/man/Lrnr_arima.Rd +++ b/man/Lrnr_arima.Rd @@ -5,9 +5,6 @@ \alias{Lrnr_arima} \title{Univariate ARIMA Models} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_arima -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -33,45 +30,6 @@ forecast of size \code{task$X}.} } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_h2o_grid}}, \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -130,69 +88,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_arima} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_arima$new()}} -\item \href{#method-clone}{\code{Lrnr_arima$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_arima$new( - order = NULL, - seasonal = list(order = c(0L, 0L, 0L), period = NA), - n.ahead = NULL, - ... -)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_arima$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_bartMachine.Rd b/man/Lrnr_bartMachine.Rd index c31f665a..861e319b 100644 --- a/man/Lrnr_bartMachine.Rd +++ b/man/Lrnr_bartMachine.Rd @@ -5,9 +5,6 @@ \alias{Lrnr_bartMachine} \title{BART Machine Learner} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_bartMachine -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -36,7 +33,7 @@ nonterminal or not.} nonterminal or not.} \item{\code{k}}{For regression, k determines the prior probability that E(Y|X) is contained in the interval (y_{min}, y_{max}), based on a normal -distribution. For example, when k=2, the prior probability is 95\%. For +distribution. For example, when k=2, the prior probability is 95\\%. For classification, k determines the prior probability that E(Y|X) is between (-3,3). Note that a larger value of k results in more shrinkage and a more conservative fit.} @@ -66,44 +63,6 @@ by all learners. } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_base}}, \code{\link{Lrnr_bilstm}}, - \code{\link{Lrnr_caret}}, \code{\link{Lrnr_condensier}}, - \code{\link{Lrnr_cv}}, \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_h2o_grid}}, \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -162,76 +121,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_bartMachine} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_bartMachine$new()}} -\item \href{#method-clone}{\code{Lrnr_bartMachine$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_bartMachine$new( - num_trees = 50, - num_burn_in = 250, - verbose = F, - alpha = 0.95, - beta = 2, - k = 2, - q = 0.9, - nu = 3, - num_iterations_after_burn_in = 1000, - prob_rule_class = 0.5, - ... -)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_bartMachine$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_base.Rd b/man/Lrnr_base.Rd index 88c40131..19b111c2 100644 --- a/man/Lrnr_base.Rd +++ b/man/Lrnr_base.Rd @@ -7,8 +7,6 @@ \title{Base Class for all sl3 Learners.} \format{\code{\link{R6Class}} object.} \usage{ -Lrnr_base - make_learner(learner_class, ...) } \arguments{ @@ -169,45 +167,6 @@ Throws an error if this learner does not have a \code{fit_object} } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_h2o_grid}}, \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -266,183 +225,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_base$new()}} -\item \href{#method-subset_covariates}{\code{Lrnr_base$subset_covariates()}} -\item \href{#method-get_outcome_type}{\code{Lrnr_base$get_outcome_type()}} -\item \href{#method-get_outcome_range}{\code{Lrnr_base$get_outcome_range()}} -\item \href{#method-base_train}{\code{Lrnr_base$base_train()}} -\item \href{#method-set_train}{\code{Lrnr_base$set_train()}} -\item \href{#method-assert_trained}{\code{Lrnr_base$assert_trained()}} -\item \href{#method-base_predict}{\code{Lrnr_base$base_predict()}} -\item \href{#method-base_chain}{\code{Lrnr_base$base_chain()}} -\item \href{#method-train_sublearners}{\code{Lrnr_base$train_sublearners()}} -\item \href{#method-train}{\code{Lrnr_base$train()}} -\item \href{#method-predict}{\code{Lrnr_base$predict()}} -\item \href{#method-sample}{\code{Lrnr_base$sample()}} -\item \href{#method-chain}{\code{Lrnr_base$chain()}} -\item \href{#method-print}{\code{Lrnr_base$print()}} -\item \href{#method-custom_chain}{\code{Lrnr_base$custom_chain()}} -\item \href{#method-predict_fold}{\code{Lrnr_base$predict_fold()}} -\item \href{#method-clone}{\code{Lrnr_base$clone()}} -} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_base$new(params = NULL, ...)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{subset_covariates()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_base$subset_covariates(task)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{get_outcome_type()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_base$get_outcome_type(task)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{get_outcome_range()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_base$get_outcome_range(task = NULL, fold_number = "full")}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{base_train()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_base$base_train(task, trained_sublearners = NULL)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{set_train()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_base$set_train(fit_object, training_task)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{assert_trained()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_base$assert_trained()}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{base_predict()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_base$base_predict(task = NULL)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{base_chain()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_base$base_chain(task = NULL)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{train_sublearners()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_base$train_sublearners(task)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{train()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_base$train(task)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{predict()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_base$predict(task = NULL)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{sample()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_base$sample(task, n_samples = 30, fold_number = "full")}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{chain()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_base$chain(task = NULL)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{print()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_base$print()}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{custom_chain()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_base$custom_chain(new_chain_fun = NULL)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{predict_fold()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_base$predict_fold(task, fold_number = "full")}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_base$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_bilstm.Rd b/man/Lrnr_bilstm.Rd index 6d5a5762..41d950ed 100644 --- a/man/Lrnr_bilstm.Rd +++ b/man/Lrnr_bilstm.Rd @@ -5,9 +5,6 @@ \alias{Lrnr_bilstm} \title{Bidirectional Long short-term memory Recurrent Neural Network (LSTM)} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_bilstm -} \value{ \code{\link{Lrnr_base}} object with methods for training and prediction } @@ -18,45 +15,29 @@ module 2.0.0 or higher. Note that all preprocessing, such as differencing and seasonal effects for time series, should be addressed before using this learner. } +\section{Fields}{ + +\describe{ +\item{\code{units}}{Positive integer, dimensionality of the output space.} + +\item{\code{loss}}{Name of a loss function used.} + +\item{\code{optimizer}}{name of optimizer, or optimizer object.} + +\item{\code{batch_size}}{Number of samples per gradient update.} + +\item{\code{epochs}}{Number of epochs to train the model.} + +\item{\code{window}}{Size of the sliding window input.} + +\item{\code{activation}}{The activation function to use.} + +\item{\code{dense}}{regular, densely-connected NN layer. Default is 1.} + +\item{\code{dropout}}{float between 0 and 1. Fraction of the input units to drop.} +}} + \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_caret}}, \code{\link{Lrnr_condensier}}, - \code{\link{Lrnr_cv}}, \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_h2o_grid}}, \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -115,122 +96,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_bilstm} -} -\section{Public fields}{ -\if{html}{\out{
}} -\describe{ -\item{\code{units}}{Positive integer, dimensionality of the output space.} - -\item{\code{loss}}{Name of a loss function used.} - -\item{\code{optimizer}}{name of optimizer, or optimizer object.} - -\item{\code{batch_size}}{Number of samples per gradient update.} - -\item{\code{epochs}}{Number of epochs to train the model.} - -\item{\code{window}}{Size of the sliding window input.} - -\item{\code{activation}}{The activation function to use.} - -\item{\code{dense}}{regular, densely-connected NN layer. Default is 1.} - -\item{\code{dropout}}{float between 0 and 1. Fraction of the input units to drop.} -} -\if{html}{\out{
}} -} -\section{Active bindings}{ -\if{html}{\out{
}} -\describe{ -\item{\code{units}}{Positive integer, dimensionality of the output space.} - -\item{\code{loss}}{Name of a loss function used.} - -\item{\code{optimizer}}{name of optimizer, or optimizer object.} - -\item{\code{batch_size}}{Number of samples per gradient update.} - -\item{\code{epochs}}{Number of epochs to train the model.} - -\item{\code{window}}{Size of the sliding window input.} - -\item{\code{activation}}{The activation function to use.} - -\item{\code{dense}}{regular, densely-connected NN layer. Default is 1.} - -\item{\code{dropout}}{float between 0 and 1. Fraction of the input units to drop.} -} -\if{html}{\out{
}} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_bilstm$new()}} -\item \href{#method-clone}{\code{Lrnr_bilstm$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_bilstm$new( - units = 4, - loss = "mean_squared_error", - optimizer = "adam", - batch_size = 1, - epochs = 500, - window = 5, - n.ahead = 1, - activation = "linear", - dense = 1, - dropout = 0, - ... -)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_bilstm$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_bound.Rd b/man/Lrnr_bound.Rd index 1354ae51..914822b3 100644 --- a/man/Lrnr_bound.Rd +++ b/man/Lrnr_bound.Rd @@ -96,60 +96,3 @@ Other Learners: } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_bound} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_bound$new()}} -\item \href{#method-clone}{\code{Lrnr_bound$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_bound$new(bound = 0.005, ...)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_bound$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_caret.Rd b/man/Lrnr_caret.Rd index 06a78998..37d5ce9a 100644 --- a/man/Lrnr_caret.Rd +++ b/man/Lrnr_caret.Rd @@ -5,9 +5,6 @@ \alias{Lrnr_caret} \title{Wrapping Learner for Package Caret} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_caret -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -46,44 +43,6 @@ documentation for \code{\link[caret]{train}}.} } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_condensier}}, - \code{\link{Lrnr_cv}}, \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_h2o_grid}}, \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -142,70 +101,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_caret} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_caret$new()}} -\item \href{#method-clone}{\code{Lrnr_caret$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_caret$new( - algorithm, - method = "CV", - metric = NULL, - trControl = caret::trainControl(method = method), - ... -)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_caret$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_condensier.Rd b/man/Lrnr_condensier.Rd index 6a787a34..4eb831fe 100644 --- a/man/Lrnr_condensier.Rd +++ b/man/Lrnr_condensier.Rd @@ -5,9 +5,6 @@ \alias{Lrnr_condensier} \title{Conditional Density Estimation} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_condensier -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -57,44 +54,6 @@ by all learners. } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_cv}}, \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_h2o_grid}}, \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -153,74 +112,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_condensier} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_condensier$new()}} -\item \href{#method-clone}{\code{Lrnr_condensier$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_condensier$new( - bin_method = c("equal.mass", "equal.len", "dhist"), - nbins = 5, - max_n_cat = 20, - pool = FALSE, - max_n_bin = NA_integer_, - parfit = FALSE, - bin_estimator = make_learner(Lrnr_glm_fast, family = binomial()), - intrvls = NULL, - ... -)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_condensier$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_cv.Rd b/man/Lrnr_cv.Rd index 2f96fd62..ebf80b12 100644 --- a/man/Lrnr_cv.Rd +++ b/man/Lrnr_cv.Rd @@ -5,9 +5,6 @@ \alias{Lrnr_cv} \title{Fit/Predict a learner with Cross Validation} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_cv -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -28,44 +25,6 @@ This can then be accessed with predict_fold(task, fold_number="full") } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_h2o_grid}}, \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -124,107 +83,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_cv} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_cv$new()}} -\item \href{#method-cv_risk}{\code{Lrnr_cv$cv_risk()}} -\item \href{#method-print}{\code{Lrnr_cv$print()}} -\item \href{#method-predict_fold}{\code{Lrnr_cv$predict_fold()}} -\item \href{#method-chain_fold}{\code{Lrnr_cv$chain_fold()}} -\item \href{#method-update}{\code{Lrnr_cv$update()}} -\item \href{#method-clone}{\code{Lrnr_cv$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_cv$new(learner, folds = NULL, full_fit = FALSE, ...)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{cv_risk()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_cv$cv_risk(loss_fun)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{print()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_cv$print()}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{predict_fold()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_cv$predict_fold(task, fold_number = "validation")}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{chain_fold()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_cv$chain_fold(task, fold_number = "validation")}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{update()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_cv$update(task)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_cv$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_cv_selector.Rd b/man/Lrnr_cv_selector.Rd index c119ac8d..ed3814e3 100644 --- a/man/Lrnr_cv_selector.Rd +++ b/man/Lrnr_cv_selector.Rd @@ -98,60 +98,3 @@ Other Learners: } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_cv_selector} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_cv_selector$new()}} -\item \href{#method-clone}{\code{Lrnr_cv_selector$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_cv_selector$new(loss_function = loss_squared_error, ...)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_cv_selector$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_dbarts.Rd b/man/Lrnr_dbarts.Rd index ffc77b0a..6a6344ba 100644 --- a/man/Lrnr_dbarts.Rd +++ b/man/Lrnr_dbarts.Rd @@ -5,9 +5,6 @@ \alias{Lrnr_dbarts} \title{Discrete Bayesian Additive Regression Tree sampler} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_dbarts -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -110,44 +107,6 @@ by all learners. } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_h2o_grid}}, \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -206,72 +165,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_dbarts} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_dbarts$new()}} -\item \href{#method-clone}{\code{Lrnr_dbarts$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_dbarts$new( - ndpost = 500, - nskip = 100, - ntree = 200L, - verbose = FALSE, - keeptrees = TRUE, - serializeable = FALSE, - ... -)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_dbarts$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_define_interactions.Rd b/man/Lrnr_define_interactions.Rd index ca0c777c..c54ceca6 100644 --- a/man/Lrnr_define_interactions.Rd +++ b/man/Lrnr_define_interactions.Rd @@ -5,9 +5,6 @@ \alias{Lrnr_define_interactions} \title{Define interactions terms} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_define_interactions -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -26,44 +23,6 @@ is already a column with a name matching this given interaction term.} } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_h2o_grid}}, \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -122,64 +81,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_define_interactions} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_define_interactions$new()}} -\item \href{#method-clone}{\code{Lrnr_define_interactions$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_define_interactions$new(interactions, warn_on_existing = TRUE, ...)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_define_interactions$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_density_discretize.Rd b/man/Lrnr_density_discretize.Rd index 0a2eeb8d..e5344162 100644 --- a/man/Lrnr_density_discretize.Rd +++ b/man/Lrnr_density_discretize.Rd @@ -5,9 +5,6 @@ \alias{Lrnr_density_discretize} \title{Density from Classification} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_density_discretize -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -36,44 +33,6 @@ by all learners. } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_h2o_grid}}, \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -132,69 +91,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_density_discretize} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_density_discretize$new()}} -\item \href{#method-clone}{\code{Lrnr_density_discretize$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_density_discretize$new( - categorical_learner = NULL, - type = "equal_mass", - n_bins = 20, - ... -)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_density_discretize$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_density_hse.Rd b/man/Lrnr_density_hse.Rd index 5786d6ee..a9e223a9 100644 --- a/man/Lrnr_density_hse.Rd +++ b/man/Lrnr_density_hse.Rd @@ -5,9 +5,6 @@ \alias{Lrnr_density_hse} \title{Density Estimation With Mean Model and Homoscedastic Errors} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_density_hse -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -37,44 +34,6 @@ by all learners. } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_h2o_grid}}, \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -133,64 +92,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_density_hse} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_density_hse$new()}} -\item \href{#method-clone}{\code{Lrnr_density_hse$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_density_hse$new(mean_learner = NULL, ...)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_density_hse$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_density_semiparametric.Rd b/man/Lrnr_density_semiparametric.Rd index 8f7cde24..cf23a8eb 100644 --- a/man/Lrnr_density_semiparametric.Rd +++ b/man/Lrnr_density_semiparametric.Rd @@ -5,9 +5,6 @@ \alias{Lrnr_density_semiparametric} \title{Density Estimation With Mean Model and Homoscedastic Errors} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_density_semiparametric -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -37,44 +34,6 @@ by all learners. } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, \code{\link{Lrnr_earth}}, - \code{\link{Lrnr_expSmooth}}, \code{\link{Lrnr_gam}}, - \code{\link{Lrnr_gbm}}, \code{\link{Lrnr_glm_fast}}, - \code{\link{Lrnr_glmnet}}, \code{\link{Lrnr_glm}}, - \code{\link{Lrnr_grf}}, \code{\link{Lrnr_h2o_grid}}, - \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -133,88 +92,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_density_semiparametric} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_density_semiparametric$new()}} -\item \href{#method-sample}{\code{Lrnr_density_semiparametric$sample()}} -\item \href{#method-get_outcome_range}{\code{Lrnr_density_semiparametric$get_outcome_range()}} -\item \href{#method-clone}{\code{Lrnr_density_semiparametric$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_density_semiparametric$new( - mean_learner = NULL, - var_learner = NULL, - bw = NULL, - ... -)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{sample()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_density_semiparametric$sample(task, n_samples = 30, fold_number = "full")}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{get_outcome_range()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_density_semiparametric$get_outcome_range( - task = NULL, - fold_number = "full" -)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_density_semiparametric$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_earth.Rd b/man/Lrnr_earth.Rd index 35c670af..7d6328c2 100644 --- a/man/Lrnr_earth.Rd +++ b/man/Lrnr_earth.Rd @@ -5,9 +5,6 @@ \alias{Lrnr_earth} \title{Earth - multivariate adaptive regression splines} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_earth -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -54,45 +51,6 @@ See its documentation for details. } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_expSmooth}}, \code{\link{Lrnr_gam}}, - \code{\link{Lrnr_gbm}}, \code{\link{Lrnr_glm_fast}}, - \code{\link{Lrnr_glmnet}}, \code{\link{Lrnr_glm}}, - \code{\link{Lrnr_grf}}, \code{\link{Lrnr_h2o_grid}}, - \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -151,73 +109,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_earth} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_earth$new()}} -\item \href{#method-clone}{\code{Lrnr_earth$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_earth$new( - degree = 2, - penalty = 3, - pmethod = "backward", - nfold = 0, - ncross = 1, - minspan = 0, - endspan = 0, - ... -)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_earth$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_expSmooth.Rd b/man/Lrnr_expSmooth.Rd index 2992e61e..3f3f0bf7 100644 --- a/man/Lrnr_expSmooth.Rd +++ b/man/Lrnr_expSmooth.Rd @@ -5,9 +5,6 @@ \alias{Lrnr_expSmooth} \title{Exponential Smoothing} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_expSmooth -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -65,45 +62,6 @@ forecast of size \code{task$X}.} } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_gam}}, - \code{\link{Lrnr_gbm}}, \code{\link{Lrnr_glm_fast}}, - \code{\link{Lrnr_glmnet}}, \code{\link{Lrnr_glm}}, - \code{\link{Lrnr_grf}}, \code{\link{Lrnr_h2o_grid}}, - \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -162,85 +120,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_expSmooth} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_expSmooth$new()}} -\item \href{#method-clone}{\code{Lrnr_expSmooth$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_expSmooth$new( - model = "ZZZ", - damped = NULL, - alpha = NULL, - beta = NULL, - gamma = NULL, - phi = NULL, - lambda = NULL, - additive.only = FALSE, - biasadj = FALSE, - lower = c(rep(1e-04, 3), 0.8), - upper = c(rep(0.9999, 3), 0.98), - opt.crit = "lik", - nmse = 3, - bounds = "both", - ic = "aic", - restrict = TRUE, - allow.multiplicative.trend = FALSE, - use.initial.values = FALSE, - freq = 1, - ... -)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_expSmooth$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_gam.Rd b/man/Lrnr_gam.Rd index f9ca535a..ec5412c1 100644 --- a/man/Lrnr_gam.Rd +++ b/man/Lrnr_gam.Rd @@ -5,9 +5,6 @@ \alias{Lrnr_gam} \title{Generalized Additive Models} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_gam -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -55,45 +52,6 @@ by all learners. } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gbm}}, \code{\link{Lrnr_glm_fast}}, - \code{\link{Lrnr_glmnet}}, \code{\link{Lrnr_glm}}, - \code{\link{Lrnr_grf}}, \code{\link{Lrnr_h2o_grid}}, - \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -152,64 +110,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_gam} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_gam$new()}} -\item \href{#method-clone}{\code{Lrnr_gam$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_gam$new(formula = NULL, family = NULL, method = "GCV.Cp", ...)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_gam$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_gbm.Rd b/man/Lrnr_gbm.Rd index c5ce4bb9..87adcdb0 100644 --- a/man/Lrnr_gbm.Rd +++ b/man/Lrnr_gbm.Rd @@ -5,9 +5,6 @@ \alias{Lrnr_gbm} \title{GBM - generalized boosted regression models} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_gbm -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -41,45 +38,6 @@ See its documentation for details. } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_glm_fast}}, - \code{\link{Lrnr_glmnet}}, \code{\link{Lrnr_glm}}, - \code{\link{Lrnr_grf}}, \code{\link{Lrnr_h2o_grid}}, - \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -138,64 +96,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_gbm} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_gbm$new()}} -\item \href{#method-clone}{\code{Lrnr_gbm$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_gbm$new(n.trees = 10000, interaction.depth = 2, shrinkage = 0.001, ...)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_gbm$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_glm.Rd b/man/Lrnr_glm.Rd index b12e6102..5552449d 100644 --- a/man/Lrnr_glm.Rd +++ b/man/Lrnr_glm.Rd @@ -5,9 +5,6 @@ \alias{Lrnr_glm} \title{Generalized Linear Models} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_glm -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -37,45 +34,6 @@ by all learners. } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_grf}}, \code{\link{Lrnr_h2o_grid}}, - \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -134,64 +92,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_glm} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_glm$new()}} -\item \href{#method-clone}{\code{Lrnr_glm$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_glm$new(intercept = TRUE, ...)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_glm$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_glm_fast.Rd b/man/Lrnr_glm_fast.Rd index a64ecf7e..ef43c34f 100644 --- a/man/Lrnr_glm_fast.Rd +++ b/man/Lrnr_glm_fast.Rd @@ -5,9 +5,6 @@ \alias{Lrnr_glm_fast} \title{Computationally Efficient GLMs} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_glm_fast -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -42,45 +39,6 @@ by all learners. } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glmnet}}, \code{\link{Lrnr_glm}}, - \code{\link{Lrnr_grf}}, \code{\link{Lrnr_h2o_grid}}, - \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -139,64 +97,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_glm_fast} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_glm_fast$new()}} -\item \href{#method-clone}{\code{Lrnr_glm_fast$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_glm_fast$new(intercept = TRUE, method = "Cholesky", ...)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_glm_fast$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_glmnet.Rd b/man/Lrnr_glmnet.Rd index c8e9a291..723dc1cf 100644 --- a/man/Lrnr_glmnet.Rd +++ b/man/Lrnr_glmnet.Rd @@ -5,9 +5,6 @@ \alias{Lrnr_glmnet} \title{GLMs with Elastic Net Regularization} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_glmnet -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -53,45 +50,6 @@ by all learners. } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glm}}, - \code{\link{Lrnr_grf}}, \code{\link{Lrnr_h2o_grid}}, - \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -150,72 +108,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_glmnet} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_glmnet$new()}} -\item \href{#method-clone}{\code{Lrnr_glmnet$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_glmnet$new( - lambda = NULL, - type.measure = "deviance", - nfolds = 10, - alpha = 1, - nlambda = 100, - use_min = TRUE, - ... -)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_glmnet$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_grf.Rd b/man/Lrnr_grf.Rd index 55f00c73..faec6bb2 100644 --- a/man/Lrnr_grf.Rd +++ b/man/Lrnr_grf.Rd @@ -5,9 +5,6 @@ \alias{Lrnr_grf} \title{Generalized Random Forests Learner} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_grf -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -79,45 +76,6 @@ by all learners. } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_h2o_grid}}, - \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -176,79 +134,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_grf} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_grf$new()}} -\item \href{#method-clone}{\code{Lrnr_grf$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_grf$new( - num.trees = 2000, - quantiles = c(0.1, 0.5, 0.9), - regression.splitting = FALSE, - clusters = NULL, - equalize.cluster.weights = FALSE, - sample.fraction = 0.5, - mtry = NULL, - min.node.size = 5, - honesty = TRUE, - alpha = 0.05, - imbalance.penalty = 0, - num.threads = 1, - quantiles_pred = 0.5, - ... -)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_grf$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_h2o_glm.Rd b/man/Lrnr_h2o_glm.Rd index 06b65d95..01318aa3 100644 --- a/man/Lrnr_h2o_glm.Rd +++ b/man/Lrnr_h2o_glm.Rd @@ -8,8 +8,6 @@ \format{\code{\link{R6Class}} object.} \usage{ define_h2o_X(task, outcome_type = NULL) - -Lrnr_h2o_glm } \arguments{ \item{task}{An object of type \code{Lrnr_base} as defined in this package.} @@ -62,44 +60,6 @@ by all learners. } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_h2o_grid}}, \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -158,72 +118,6 @@ Other Learners: \code{\link{Pipeline}}, \code{\link{Stack}}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_h2o_glm} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_h2o_glm$new()}} -\item \href{#method-clone}{\code{Lrnr_h2o_glm$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_h2o_glm$new( - intercept = TRUE, - standardize = TRUE, - lambda = 0L, - max_iterations = 100, - ignore_const_cols = FALSE, - missing_values_handling = "Skip", - ... -)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_h2o_glm$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_h2o_grid.Rd b/man/Lrnr_h2o_grid.Rd index 8ef90c1c..6636f5f4 100644 --- a/man/Lrnr_h2o_grid.Rd +++ b/man/Lrnr_h2o_grid.Rd @@ -7,13 +7,6 @@ \alias{Lrnr_h2o_mutator} \title{Grid Search Models with h2o} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_h2o_grid - -Lrnr_h2o_classifier - -Lrnr_h2o_mutator -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -62,49 +55,6 @@ by all learners. } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -} -\concept{Learners} -\keyword{data} -\keyword{datasets} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -166,170 +116,3 @@ Other Learners: } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_h2o_grid} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_h2o_grid$new()}} -\item \href{#method-clone}{\code{Lrnr_h2o_grid$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_h2o_grid$new( - algorithm, - seed = 1, - distribution = NULL, - intercept = TRUE, - standardize = TRUE, - lambda = 0L, - max_iterations = 100, - ignore_const_cols = FALSE, - missing_values_handling = "Skip", - ... -)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_h2o_grid$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} -\section{Super classes}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{\link[sl3:Lrnr_h2o_grid]{sl3::Lrnr_h2o_grid}} -> \code{Lrnr_h2o_classifier} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-clone}{\code{Lrnr_h2o_classifier$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_h2o_grid.html#method-initialize}{\code{sl3::Lrnr_h2o_grid$initialize()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_h2o_classifier$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} -\section{Super classes}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{\link[sl3:Lrnr_h2o_grid]{sl3::Lrnr_h2o_grid}} -> \code{Lrnr_h2o_mutator} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-clone}{\code{Lrnr_h2o_mutator$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_h2o_grid.html#method-initialize}{\code{sl3::Lrnr_h2o_grid$initialize()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_h2o_mutator$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad diff --git a/man/Lrnr_hal9001.Rd b/man/Lrnr_hal9001.Rd index 5fc19932..2af8dd4a 100644 --- a/man/Lrnr_hal9001.Rd +++ b/man/Lrnr_hal9001.Rd @@ -5,9 +5,6 @@ \alias{Lrnr_hal9001} \title{The Scalable Highly Adaptive Lasso} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_hal9001 -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -77,45 +74,6 @@ value) using \code{\link[glmnet]{glmnet}} (when set to \code{FALSE}). } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_h2o_grid}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -174,75 +132,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_hal9001} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_hal9001$new()}} -\item \href{#method-clone}{\code{Lrnr_hal9001$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_hal9001$new( - max_degree = 3, - fit_type = "glmnet", - n_folds = 10, - use_min = TRUE, - reduce_basis = NULL, - return_lasso = TRUE, - return_x_basis = FALSE, - basis_list = NULL, - cv_select = TRUE, - ... -)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_hal9001$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_haldensify.Rd b/man/Lrnr_haldensify.Rd index 43933d6a..0a8dd1ac 100644 --- a/man/Lrnr_haldensify.Rd +++ b/man/Lrnr_haldensify.Rd @@ -5,16 +5,11 @@ \alias{Lrnr_haldensify} \title{Conditional Density Estimation with the Highly Adaptive LASSO} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_haldensify -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. } \description{ -Conditional Density Estimation with the Highly Adaptive LASSO - Conditional Density Estimation with the Highly Adaptive LASSO } \section{Parameters}{ @@ -43,44 +38,6 @@ to be passed to to \code{\link[hal9001]{fit_hal}}. } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_h2o_grid}}, \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -139,69 +96,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_haldensify} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_haldensify$new()}} -\item \href{#method-clone}{\code{Lrnr_haldensify$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_haldensify$new( - grid_type = c("equal_range", "equal_mass"), - n_bins = c(5, 10), - lambda_seq = exp(seq(-1, -13, length = 1000L)), - ... -)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_haldensify$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_independent_binomial.Rd b/man/Lrnr_independent_binomial.Rd index 938f8853..9ea4bc13 100644 --- a/man/Lrnr_independent_binomial.Rd +++ b/man/Lrnr_independent_binomial.Rd @@ -5,9 +5,6 @@ \alias{Lrnr_independent_binomial} \title{Classification from Binomial Regression} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_independent_binomial -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -38,44 +35,6 @@ by all learners. } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_h2o_grid}}, \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, \code{\link{Lrnr_lstm}}, - \code{\link{Lrnr_mean}}, \code{\link{Lrnr_multivariate}}, - \code{\link{Lrnr_nnls}}, \code{\link{Lrnr_optim}}, - \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -134,64 +93,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_independent_binomial} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_independent_binomial$new()}} -\item \href{#method-clone}{\code{Lrnr_independent_binomial$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_independent_binomial$new(binomial_learner = NULL, ...)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_independent_binomial$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_lstm.Rd b/man/Lrnr_lstm.Rd index dfc8c963..cc792d30 100644 --- a/man/Lrnr_lstm.Rd +++ b/man/Lrnr_lstm.Rd @@ -5,9 +5,6 @@ \alias{Lrnr_lstm} \title{Long short-term memory Recurrent Neural Network (LSTM)} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_lstm -} \value{ \code{\link{Lrnr_base}} object with methods for training and prediction } @@ -18,46 +15,29 @@ algorithm. In order to use this learner, you will need keras Python module seasonal effects for time series, should be addressed before using this learner. } +\section{Fields}{ + +\describe{ +\item{\code{units}}{Positive integer, dimensionality of the output space.} + +\item{\code{loss}}{Name of a loss function used.} + +\item{\code{optimizer}}{name of optimizer, or optimizer object.} + +\item{\code{batch_size}}{Number of samples per gradient update.} + +\item{\code{epochs}}{Number of epochs to train the model.} + +\item{\code{window}}{Size of the sliding window input.} + +\item{\code{activation}}{The activation function to use.} + +\item{\code{dense}}{regular, densely-connected NN layer. Default is 1.} + +\item{\code{dropout}}{float between 0 and 1. Fraction of the input units to drop.} +}} + \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_h2o_grid}}, \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_mean}}, \code{\link{Lrnr_multivariate}}, - \code{\link{Lrnr_nnls}}, \code{\link{Lrnr_optim}}, - \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -116,122 +96,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_lstm} -} -\section{Public fields}{ -\if{html}{\out{
}} -\describe{ -\item{\code{units}}{Positive integer, dimensionality of the output space.} - -\item{\code{loss}}{Name of a loss function used.} - -\item{\code{optimizer}}{name of optimizer, or optimizer object.} - -\item{\code{batch_size}}{Number of samples per gradient update.} - -\item{\code{epochs}}{Number of epochs to train the model.} - -\item{\code{window}}{Size of the sliding window input.} - -\item{\code{activation}}{The activation function to use.} - -\item{\code{dense}}{regular, densely-connected NN layer. Default is 1.} - -\item{\code{dropout}}{float between 0 and 1. Fraction of the input units to drop.} -} -\if{html}{\out{
}} -} -\section{Active bindings}{ -\if{html}{\out{
}} -\describe{ -\item{\code{units}}{Positive integer, dimensionality of the output space.} - -\item{\code{loss}}{Name of a loss function used.} - -\item{\code{optimizer}}{name of optimizer, or optimizer object.} - -\item{\code{batch_size}}{Number of samples per gradient update.} - -\item{\code{epochs}}{Number of epochs to train the model.} - -\item{\code{window}}{Size of the sliding window input.} - -\item{\code{activation}}{The activation function to use.} - -\item{\code{dense}}{regular, densely-connected NN layer. Default is 1.} - -\item{\code{dropout}}{float between 0 and 1. Fraction of the input units to drop.} -} -\if{html}{\out{
}} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_lstm$new()}} -\item \href{#method-clone}{\code{Lrnr_lstm$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_lstm$new( - units = 4, - loss = "mean_squared_error", - optimizer = "adam", - batch_size = 1, - epochs = 500, - window = 5, - n.ahead = 1, - activation = "linear", - dense = 1, - dropout = 0, - ... -)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_lstm$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_mean.Rd b/man/Lrnr_mean.Rd index 70d7d63b..77871652 100644 --- a/man/Lrnr_mean.Rd +++ b/man/Lrnr_mean.Rd @@ -5,9 +5,6 @@ \alias{Lrnr_mean} \title{Fitting Intercept Models} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_mean -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -37,45 +34,6 @@ by all learners. } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_h2o_grid}}, \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_multivariate}}, - \code{\link{Lrnr_nnls}}, \code{\link{Lrnr_optim}}, - \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -134,72 +92,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_mean} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_mean$new()}} -\item \href{#method-print}{\code{Lrnr_mean$print()}} -\item \href{#method-clone}{\code{Lrnr_mean$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_mean$new(...)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{print()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_mean$print()}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_mean$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_multivariate.Rd b/man/Lrnr_multivariate.Rd index 6ccccb5b..e40847c1 100644 --- a/man/Lrnr_multivariate.Rd +++ b/man/Lrnr_multivariate.Rd @@ -5,9 +5,6 @@ \alias{Lrnr_multivariate} \title{Multivariate Learner} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_multivariate -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -37,45 +34,6 @@ by all learners. } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_h2o_grid}}, \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_nnls}}, \code{\link{Lrnr_optim}}, - \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -134,64 +92,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_multivariate} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_multivariate$new()}} -\item \href{#method-clone}{\code{Lrnr_multivariate$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_multivariate$new(learner = NULL, ...)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_multivariate$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_nnls.Rd b/man/Lrnr_nnls.Rd index 90760796..4ad08066 100644 --- a/man/Lrnr_nnls.Rd +++ b/man/Lrnr_nnls.Rd @@ -5,9 +5,6 @@ \alias{Lrnr_nnls} \title{Non-negative Linear Least Squares} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_nnls -} \value{ Learner object with methods for both training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -41,45 +38,6 @@ by all learners. } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_h2o_grid}}, \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -138,72 +96,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_nnls} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_nnls$new()}} -\item \href{#method-print}{\code{Lrnr_nnls$print()}} -\item \href{#method-clone}{\code{Lrnr_nnls$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_nnls$new(convex = FALSE, ...)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{print()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_nnls$print()}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_nnls$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_optim.Rd b/man/Lrnr_optim.Rd index 8a07fca7..46a38973 100644 --- a/man/Lrnr_optim.Rd +++ b/man/Lrnr_optim.Rd @@ -5,9 +5,6 @@ \alias{Lrnr_optim} \title{Optimize Metalearner according to Loss Function using optim} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_optim -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -49,45 +46,6 @@ by all learners. } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_h2o_grid}}, \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -146,70 +104,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_optim} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_optim$new()}} -\item \href{#method-clone}{\code{Lrnr_optim$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_optim$new( - learner_function = metalearner_linear, - loss_function = loss_squared_error, - intercept = FALSE, - init_0 = FALSE, - ... -)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_optim$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_pca.Rd b/man/Lrnr_pca.Rd index 6b2183e8..b2105ff8 100644 --- a/man/Lrnr_pca.Rd +++ b/man/Lrnr_pca.Rd @@ -5,9 +5,6 @@ \alias{Lrnr_pca} \title{Principal Component Analysis and Regression} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_pca -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -51,45 +48,6 @@ by all learners. } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_h2o_grid}}, \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -148,64 +106,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_pca} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_pca$new()}} -\item \href{#method-clone}{\code{Lrnr_pca$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_pca$new(n_comp = 2, center = TRUE, scale. = TRUE, ...)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_pca$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_pkg_condensier_logisfitR6.Rd b/man/Lrnr_pkg_condensier_logisfitR6.Rd index 2cb89d1b..d3b5f0eb 100644 --- a/man/Lrnr_pkg_condensier_logisfitR6.Rd +++ b/man/Lrnr_pkg_condensier_logisfitR6.Rd @@ -4,76 +4,8 @@ \name{Lrnr_pkg_condensier_logisfitR6} \alias{Lrnr_pkg_condensier_logisfitR6} \title{sl3 Learner wrapper for condensier} -\format{An object of class \code{R6ClassGenerator} of length 25.} -\usage{ -Lrnr_pkg_condensier_logisfitR6 -} \description{ This wrapper allows the use of any \code{sl3} Learner as a Learner for \code{condensier}. For details, see the \code{\link[condensier]{fit_density}} function. } -<<<<<<< HEAD -\keyword{datasets} -======= -\section{Super class}{ -\code{\link[condensier:logisfitR6]{condensier::logisfitR6}} -> \code{Lrnr_pkg_condensier_logisfitR6} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_pkg_condensier_logisfitR6$new()}} -\item \href{#method-fit}{\code{Lrnr_pkg_condensier_logisfitR6$fit()}} -\item \href{#method-predict}{\code{Lrnr_pkg_condensier_logisfitR6$predict()}} -\item \href{#method-clone}{\code{Lrnr_pkg_condensier_logisfitR6$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../condensier/html/logisfitR6.html#method-predict.long}{\code{condensier::logisfitR6$predict.long()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_pkg_condensier_logisfitR6$new(sl3_lrnr, ...)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{fit()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_pkg_condensier_logisfitR6$fit(datsum_obj)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{predict()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_pkg_condensier_logisfitR6$predict(datsum_obj, m.fit)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_pkg_condensier_logisfitR6$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad diff --git a/man/Lrnr_polspline.Rd b/man/Lrnr_polspline.Rd index 9d8a0d48..2fd0f8a3 100644 --- a/man/Lrnr_polspline.Rd +++ b/man/Lrnr_polspline.Rd @@ -6,9 +6,6 @@ \title{Polyspline - multivariate adaptive polynomial spline regression (polymars) and polychotomous regression and multiple classification (polyclass)} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_polspline -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -34,44 +31,6 @@ See their documentation for details. } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_h2o_grid}}, \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -130,64 +89,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_polspline} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_polspline$new()}} -\item \href{#method-clone}{\code{Lrnr_polspline$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_polspline$new(cv = 5, ...)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_polspline$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_pooled_hazards.Rd b/man/Lrnr_pooled_hazards.Rd index 080f0abf..89f515f6 100644 --- a/man/Lrnr_pooled_hazards.Rd +++ b/man/Lrnr_pooled_hazards.Rd @@ -5,9 +5,6 @@ \alias{Lrnr_pooled_hazards} \title{Classification from Pooled Hazards} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_pooled_hazards -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -37,44 +34,6 @@ by all learners. } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_h2o_grid}}, \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -133,64 +92,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_pooled_hazards} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_pooled_hazards$new()}} -\item \href{#method-clone}{\code{Lrnr_pooled_hazards$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_pooled_hazards$new(binomial_learner = NULL, ...)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_pooled_hazards$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_randomForest.Rd b/man/Lrnr_randomForest.Rd index e7be9cd0..7fc324f2 100644 --- a/man/Lrnr_randomForest.Rd +++ b/man/Lrnr_randomForest.Rd @@ -5,9 +5,6 @@ \alias{Lrnr_randomForest} \title{Random Forests} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_randomForest -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -34,44 +31,6 @@ tree.} } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_h2o_grid}}, \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -130,71 +89,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_randomForest} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_randomForest$new()}} -\item \href{#method-clone}{\code{Lrnr_randomForest$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_randomForest$new( - ntree = 100, - keep.forest = TRUE, - nodesize = 5, - maxnodes = NULL, - importance = FALSE, - ... -)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_randomForest$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_ranger.Rd b/man/Lrnr_ranger.Rd index d6f7bf0b..7cee5347 100644 --- a/man/Lrnr_ranger.Rd +++ b/man/Lrnr_ranger.Rd @@ -5,9 +5,6 @@ \alias{Lrnr_ranger} \title{Ranger - A Fast Implementation of Random Forests} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_ranger -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -31,44 +28,6 @@ See its documentation for details.} } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_h2o_grid}}, \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -127,64 +86,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_ranger} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_ranger$new()}} -\item \href{#method-clone}{\code{Lrnr_ranger$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_ranger$new(num.trees = 500, write.forest = TRUE, num.threads = 1, ...)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_ranger$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_revere_task.Rd b/man/Lrnr_revere_task.Rd index f79ab8fa..b3288ab3 100644 --- a/man/Lrnr_revere_task.Rd +++ b/man/Lrnr_revere_task.Rd @@ -5,9 +5,6 @@ \alias{Lrnr_revere_task} \title{Learner that chains into a revere task} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_revere_task -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -23,44 +20,6 @@ A wrapper around a revere generator that produces a revere task on chain } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_h2o_grid}}, \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -119,81 +78,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_revere_task} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_revere_task$new()}} -\item \href{#method-predict_fold}{\code{Lrnr_revere_task$predict_fold()}} -\item \href{#method-chain_fold}{\code{Lrnr_revere_task$chain_fold()}} -\item \href{#method-clone}{\code{Lrnr_revere_task$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_revere_task$new(revere_function, ...)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{predict_fold()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_revere_task$predict_fold(task, fold_number = "validation")}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{chain_fold()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_revere_task$chain_fold(task, fold_number = "validation")}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_revere_task$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_rfcde.Rd b/man/Lrnr_rfcde.Rd index ebd9756c..620dbb9b 100644 --- a/man/Lrnr_rfcde.Rd +++ b/man/Lrnr_rfcde.Rd @@ -5,16 +5,11 @@ \alias{Lrnr_rfcde} \title{RFCDE: Random Forests for Conditional Density Estimation} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_rfcde -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. } \description{ -RFCDE: Random Forests for Conditional Density Estimation - RFCDE: Random Forests for Conditional Density Estimation } \section{Parameters}{ @@ -59,45 +54,6 @@ Consult the documentation of that package for details. } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_h2o_grid}}, \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rpart}}, - \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -156,75 +112,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_rfcde} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_rfcde$new()}} -\item \href{#method-clone}{\code{Lrnr_rfcde$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_rfcde$new( - n_trees = 1000, - node_size = 5, - n_basis = 31, - basis_system = "cosine", - min_loss_delta = 0, - fit_oob = FALSE, - z_grid = seq(0, 10, length.out = 100), - bandwidth = "auto", - output_type = "observed", - ... -)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_rfcde$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_rpart.Rd b/man/Lrnr_rpart.Rd index 0b97ce9a..bcac3b7e 100644 --- a/man/Lrnr_rpart.Rd +++ b/man/Lrnr_rpart.Rd @@ -5,9 +5,6 @@ \alias{Lrnr_rpart} \title{Learner for Recursive Partitioning and Regression Trees.} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_rpart -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -34,45 +31,6 @@ result. } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_h2o_grid}}, \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -131,64 +89,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_rpart} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_rpart$new()}} -\item \href{#method-clone}{\code{Lrnr_rpart$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_rpart$new(model = FALSE, x = FALSE, y = FALSE, ...)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_rpart$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_rugarch.Rd b/man/Lrnr_rugarch.Rd index d7b7fcbf..ed5b2887 100644 --- a/man/Lrnr_rugarch.Rd +++ b/man/Lrnr_rugarch.Rd @@ -5,9 +5,6 @@ \alias{Lrnr_rugarch} \title{Univariate GARCH Models} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_rugarch -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -38,45 +35,6 @@ fixed during the optimization.} } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_h2o_grid}}, \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -135,74 +93,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_rugarch} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_rugarch$new()}} -\item \href{#method-clone}{\code{Lrnr_rugarch$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_rugarch$new( - variance.model = list(model = "sGARCH", garchOrder = c(1, 1), submodel = NULL, - external.regressors = NULL, variance.targeting = FALSE), - mean.model = list(armaOrder = c(1, 1), include.mean = TRUE, archm = FALSE, archpow = - 1, arfima = FALSE, external.regressors = NULL, archex = FALSE), - distribution.model = "norm", - start.pars = list(), - fixed.pars = list(), - n.ahead = NULL, - ... -)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_rugarch$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_screener_corP.Rd b/man/Lrnr_screener_corP.Rd index 607729fa..7712acd9 100644 --- a/man/Lrnr_screener_corP.Rd +++ b/man/Lrnr_screener_corP.Rd @@ -5,9 +5,6 @@ \alias{Lrnr_screener_corP} \title{Correlation P-value Screener} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_screener_corP -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -27,44 +24,6 @@ from a test of correlation provided by the \code{stats} package, } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_h2o_grid}}, \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -123,64 +82,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_screener_corP} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_screener_corP$new()}} -\item \href{#method-clone}{\code{Lrnr_screener_corP$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_screener_corP$new(method = "pearson", minPvalue = 0.1, minscreen = 2)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_screener_corP$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_screener_corRank.Rd b/man/Lrnr_screener_corRank.Rd index f9861da5..10c98afd 100644 --- a/man/Lrnr_screener_corRank.Rd +++ b/man/Lrnr_screener_corRank.Rd @@ -5,9 +5,6 @@ \alias{Lrnr_screener_corRank} \title{Correlation Rank Screener} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_screener_corRank -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -26,44 +23,6 @@ by the p-values returned from a test of correlation provided by the } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_h2o_grid}}, \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -122,64 +81,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_screener_corRank} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_screener_corRank$new()}} -\item \href{#method-clone}{\code{Lrnr_screener_corRank$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_screener_corRank$new(method = "pearson", rank = 5)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_screener_corRank$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_screener_randomForest.Rd b/man/Lrnr_screener_randomForest.Rd index ef52d2ae..ae51a609 100644 --- a/man/Lrnr_screener_randomForest.Rd +++ b/man/Lrnr_screener_randomForest.Rd @@ -5,9 +5,6 @@ \alias{Lrnr_screener_randomForest} \title{Random Forest Screener} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_screener_randomForest -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -29,44 +26,6 @@ function. } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_h2o_grid}}, \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -125,64 +84,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_screener_randomForest} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_screener_randomForest$new()}} -\item \href{#method-clone}{\code{Lrnr_screener_randomForest$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_screener_randomForest$new(nVar = 10, ntree = 1000, ...)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_screener_randomForest$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_sl.Rd b/man/Lrnr_sl.Rd index 0dba390a..dbeeb2a7 100644 --- a/man/Lrnr_sl.Rd +++ b/man/Lrnr_sl.Rd @@ -5,9 +5,6 @@ \alias{Lrnr_sl} \title{SuperLearner Algorithm} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_sl -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -48,45 +45,6 @@ by all learners. } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_h2o_grid}}, \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -145,104 +103,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_sl} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_sl$new()}} -\item \href{#method-print}{\code{Lrnr_sl$print()}} -\item \href{#method-metalearner_fit}{\code{Lrnr_sl$metalearner_fit()}} -\item \href{#method-cv_risk}{\code{Lrnr_sl$cv_risk()}} -\item \href{#method-predict_fold}{\code{Lrnr_sl$predict_fold()}} -\item \href{#method-clone}{\code{Lrnr_sl$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_sl$new( - learners, - metalearner = "default", - folds = NULL, - keep_extra = TRUE, - ... -)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{print()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_sl$print()}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{metalearner_fit()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_sl$metalearner_fit()}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{cv_risk()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_sl$cv_risk(loss_fun)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{predict_fold()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_sl$predict_fold(task, fold_number = "validation")}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_sl$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_solnp.Rd b/man/Lrnr_solnp.Rd index d691fdd6..352d8f40 100644 --- a/man/Lrnr_solnp.Rd +++ b/man/Lrnr_solnp.Rd @@ -5,9 +5,6 @@ \alias{Lrnr_solnp} \title{Nonlinear Optimization via Augmented Lagrange} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_solnp -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -52,45 +49,6 @@ by all learners. } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_h2o_grid}}, \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -149,72 +107,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_solnp} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_solnp$new()}} -\item \href{#method-clone}{\code{Lrnr_solnp$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_solnp$new( - learner_function = metalearner_linear, - loss_function = loss_squared_error, - make_sparse = TRUE, - convex_combination = TRUE, - init_0 = FALSE, - tol = 1e-05, - ... -)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_solnp$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_solnp_density.Rd b/man/Lrnr_solnp_density.Rd index e55ea691..1b104073 100644 --- a/man/Lrnr_solnp_density.Rd +++ b/man/Lrnr_solnp_density.Rd @@ -5,9 +5,6 @@ \alias{Lrnr_solnp_density} \title{Nonlinear Optimization via Augmented Lagrange} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_solnp_density -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -41,45 +38,6 @@ by all learners. } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_h2o_grid}}, \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp}}, - \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -138,64 +96,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_solnp_density} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_solnp_density$new()}} -\item \href{#method-clone}{\code{Lrnr_solnp_density$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_solnp_density$new(...)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_solnp_density$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_stratified.Rd b/man/Lrnr_stratified.Rd index 343d0189..07cba31f 100644 --- a/man/Lrnr_stratified.Rd +++ b/man/Lrnr_stratified.Rd @@ -5,16 +5,11 @@ \alias{Lrnr_stratified} \title{Stratify learner fits by a single variable} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_stratified -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. } \description{ -Stratify learner fits by a single variable - Stratify learner fits by a single variable } \section{Parameters}{ @@ -33,45 +28,6 @@ variables with discrete levels coded as \code{numeric}. } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_h2o_grid}}, \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -130,64 +86,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_stratified} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_stratified$new()}} -\item \href{#method-clone}{\code{Lrnr_stratified$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_stratified$new(learner, variable_stratify, ...)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_stratified$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_subset_covariates.Rd b/man/Lrnr_subset_covariates.Rd index 416cb5e5..a4adba74 100644 --- a/man/Lrnr_subset_covariates.Rd +++ b/man/Lrnr_subset_covariates.Rd @@ -5,9 +5,6 @@ \alias{Lrnr_subset_covariates} \title{Learner with Covariate Subsetting} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_subset_covariates -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -37,44 +34,6 @@ by all learners. } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_h2o_grid}}, \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -133,64 +92,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_subset_covariates} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_subset_covariates$new()}} -\item \href{#method-clone}{\code{Lrnr_subset_covariates$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_subset_covariates$new(...)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_subset_covariates$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_svm.Rd b/man/Lrnr_svm.Rd index 1428ef82..5a7aa3c3 100644 --- a/man/Lrnr_svm.Rd +++ b/man/Lrnr_svm.Rd @@ -5,9 +5,6 @@ \alias{Lrnr_svm} \title{Support Vector Machines} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_svm -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -44,45 +41,6 @@ See its documentation for details.} } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_h2o_grid}}, \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_tsDyn}}, \code{\link{Lrnr_xgboost}}, - \code{\link{Pipeline}}, \code{\link{Stack}}, - \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -141,71 +99,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_svm} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_svm$new()}} -\item \href{#method-clone}{\code{Lrnr_svm$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_svm$new( - scale = TRUE, - type = NULL, - kernel = "radial", - fitted = TRUE, - probability = FALSE, - ... -)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_svm$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_tsDyn.Rd b/man/Lrnr_tsDyn.Rd index cf98e4a8..877e7904 100644 --- a/man/Lrnr_tsDyn.Rd +++ b/man/Lrnr_tsDyn.Rd @@ -5,9 +5,6 @@ \alias{Lrnr_tsDyn} \title{Nonlinear Time Series Analysis} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_tsDyn -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -78,45 +75,6 @@ relation.} } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_h2o_grid}}, \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_xgboost}}, - \code{\link{Pipeline}}, \code{\link{Stack}}, - \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -175,103 +133,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_tsDyn} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_tsDyn$new()}} -\item \href{#method-clone}{\code{Lrnr_tsDyn$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_tsDyn$new( - learner, - m = 1, - size = 1, - lag = 1, - d = 1, - include = "const", - type = "level", - n.ahead = NULL, - mL = m, - mH = m, - mM = NULL, - thDelay = 0, - common = "none", - ML = seq_len(mL), - MM = NULL, - MH = seq_len(mH), - nthresh = 1, - trim = 0.15, - sig = 0.05, - control = list(), - r = 1, - model = "VAR", - I = "level", - beta = NULL, - estim = "2OLS", - exogen = NULL, - LRinclude = "none", - commonInter = FALSE, - mTh = 1, - gamma = NULL, - dummyToBothRegimes = TRUE, - max.iter = 2, - ngridBeta = 50, - ngridTh = 50, - th1 = list(exact = NULL, int = c("from", "to"), around = "val"), - th2 = list(exact = NULL, int = c("from", "to"), around = "val"), - beta0 = 0, - ... -)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_tsDyn$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Lrnr_xgboost.Rd b/man/Lrnr_xgboost.Rd index e57dc056..921410c6 100644 --- a/man/Lrnr_xgboost.Rd +++ b/man/Lrnr_xgboost.Rd @@ -5,9 +5,6 @@ \alias{Lrnr_xgboost} \title{xgboost: eXtreme Gradient Boosting} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_xgboost -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -42,45 +39,6 @@ by all learners. } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_h2o_grid}}, \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Pipeline}}, \code{\link{Stack}}, - \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -139,64 +97,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_xgboost} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_xgboost$new()}} -\item \href{#method-clone}{\code{Lrnr_xgboost$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_xgboost$new(nrounds = 20, nthread = 1, ...)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_xgboost$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Pipeline.Rd b/man/Pipeline.Rd index a60715f5..4e0cf811 100644 --- a/man/Pipeline.Rd +++ b/man/Pipeline.Rd @@ -5,9 +5,6 @@ \alias{Pipeline} \title{Pipeline (chain) of learners.} \format{\code{\link{R6Class}} object.} -\usage{ -Pipeline -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -44,45 +41,6 @@ by all learners. } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_h2o_grid}}, \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Stack}}, - \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -141,80 +99,6 @@ Other Learners: \code{\link{Stack}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Pipeline} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Pipeline$new()}} -\item \href{#method-print}{\code{Pipeline$print()}} -\item \href{#method-predict_fold}{\code{Pipeline$predict_fold()}} -\item \href{#method-clone}{\code{Pipeline$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Pipeline$new(...)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{print()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Pipeline$print()}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{predict_fold()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Pipeline$predict_fold(task, fold_number)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Pipeline$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/Shared_Data.Rd b/man/Shared_Data.Rd index 163bece1..cf4748c8 100644 --- a/man/Shared_Data.Rd +++ b/man/Shared_Data.Rd @@ -1,71 +1,8 @@ % Generated by roxygen2: do not edit by hand % Please edit documentation in R/Shared_Data.R -\docType{data} \name{Shared_Data} \alias{Shared_Data} \title{Container Class for data.table Shared Between Tasks} -\format{An object of class \code{R6ClassGenerator} of length 25.} -\usage{ -Shared_Data -} \description{ Mostly to deal with alloc.col shallow copies, but also nice to have a bit more abstraction. } -<<<<<<< HEAD -\keyword{datasets} -======= -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Shared_Data$new()}} -\item \href{#method-get_data}{\code{Shared_Data$get_data()}} -\item \href{#method-add_columns}{\code{Shared_Data$add_columns()}} -\item \href{#method-clone}{\code{Shared_Data$clone()}} -} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Shared_Data$new(data, force_copy = TRUE, ...)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{get_data()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Shared_Data$get_data(rows = NULL, columns)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{add_columns()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Shared_Data$add_columns( - new_data, - column_uuid = uuid::UUIDgenerate(), - row_index = NULL -)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Shared_Data$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad diff --git a/man/Stack.Rd b/man/Stack.Rd index e7a5a21a..94139d95 100644 --- a/man/Stack.Rd +++ b/man/Stack.Rd @@ -5,9 +5,6 @@ \alias{Stack} \title{Learner Stacking} \format{\code{\link{R6Class}} object.} -\usage{ -Stack -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -37,45 +34,6 @@ by all learners. } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_h2o_grid}}, \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -134,81 +92,6 @@ Other Learners: \code{\link{Pipeline}}, \code{\link{define_h2o_X}()}, \code{\link{undocumented_learner}} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Stack} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Stack$new()}} -\item \href{#method-print}{\code{Stack$print()}} -\item \href{#method-update_errors}{\code{Stack$update_errors()}} -\item \href{#method-clone}{\code{Stack$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Stack$new(...)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{print()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Stack$print()}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{update_errors()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Stack$update_errors(is_error)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Stack$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/SuperLearner_interface.Rd b/man/SuperLearner_interface.Rd index 5082c3fc..8d599e0e 100644 --- a/man/SuperLearner_interface.Rd +++ b/man/SuperLearner_interface.Rd @@ -8,13 +8,6 @@ \alias{Lrnr_pkg_SuperLearner_screener} \title{Use SuperLearner Wrappers, Screeners, and Methods, in sl3} \format{\code{\link{R6Class}} object.} -\usage{ -Lrnr_pkg_SuperLearner - -Lrnr_pkg_SuperLearner_method - -Lrnr_pkg_SuperLearner_screener -} \value{ Learner object with methods for training and prediction. See \code{\link{Lrnr_base}} for documentation on learners. @@ -54,48 +47,6 @@ by all learners. } \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_h2o_grid}}, \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}}, - \code{\link{undocumented_learner}} -} -\concept{Learners} -\keyword{data} -\keyword{datasets} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -157,175 +108,3 @@ Other Learners: } \concept{Learners} \keyword{data} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_pkg_SuperLearner} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_pkg_SuperLearner$new()}} -\item \href{#method-clone}{\code{Lrnr_pkg_SuperLearner$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_pkg_SuperLearner$new(SL_wrapper, ...)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_pkg_SuperLearner$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_pkg_SuperLearner_method} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_pkg_SuperLearner_method$new()}} -\item \href{#method-clone}{\code{Lrnr_pkg_SuperLearner_method$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_pkg_SuperLearner_method$new(SL_wrapper, ...)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_pkg_SuperLearner_method$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} -\section{Super class}{ -\code{\link[sl3:Lrnr_base]{sl3::Lrnr_base}} -> \code{Lrnr_pkg_SuperLearner_screener} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Lrnr_pkg_SuperLearner_screener$new()}} -\item \href{#method-clone}{\code{Lrnr_pkg_SuperLearner_screener$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-assert_trained}{\code{sl3::Lrnr_base$assert_trained()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_chain}{\code{sl3::Lrnr_base$base_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_predict}{\code{sl3::Lrnr_base$base_predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-base_train}{\code{sl3::Lrnr_base$base_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-chain}{\code{sl3::Lrnr_base$chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-custom_chain}{\code{sl3::Lrnr_base$custom_chain()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_range}{\code{sl3::Lrnr_base$get_outcome_range()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-get_outcome_type}{\code{sl3::Lrnr_base$get_outcome_type()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict}{\code{sl3::Lrnr_base$predict()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-predict_fold}{\code{sl3::Lrnr_base$predict_fold()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-print}{\code{sl3::Lrnr_base$print()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-sample}{\code{sl3::Lrnr_base$sample()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-set_train}{\code{sl3::Lrnr_base$set_train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-subset_covariates}{\code{sl3::Lrnr_base$subset_covariates()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train}{\code{sl3::Lrnr_base$train()}}\out{} -\item \out{}\href{../../sl3/html/Lrnr_base.html#method-train_sublearners}{\code{sl3::Lrnr_base$train_sublearners()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_pkg_SuperLearner_screener$new(SL_wrapper, ...)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Lrnr_pkg_SuperLearner_screener$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad diff --git a/man/cpp.Rd b/man/cpp.Rd index 9826926a..b650f4a2 100644 --- a/man/cpp.Rd +++ b/man/cpp.Rd @@ -51,6 +51,8 @@ of longitudinal research 1 (1984): 185-227. } \usage{ data(cpp) + +data(cpp_imputed) } \description{ Subset of growth data from the collaborative perinatal project (CPP). diff --git a/man/sl3_Task.Rd b/man/sl3_Task.Rd index 065b186d..f08e05f4 100644 --- a/man/sl3_Task.Rd +++ b/man/sl3_Task.Rd @@ -7,8 +7,6 @@ \title{Define a Machine Learning Task} \format{\code{\link{R6Class}} object.} \usage{ -sl3_Task - make_sl3_Task(...) } \arguments{ @@ -172,150 +170,3 @@ Returns a ddta.table with the requested node's data } \keyword{data} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{sl3_Task$new()}} -\item \href{#method-add_interactions}{\code{sl3_Task$add_interactions()}} -\item \href{#method-add_columns}{\code{sl3_Task$add_columns()}} -\item \href{#method-next_in_chain}{\code{sl3_Task$next_in_chain()}} -\item \href{#method-subset_task}{\code{sl3_Task$subset_task()}} -\item \href{#method-get_data}{\code{sl3_Task$get_data()}} -\item \href{#method-has_node}{\code{sl3_Task$has_node()}} -\item \href{#method-get_node}{\code{sl3_Task$get_node()}} -\item \href{#method-offset_transformed}{\code{sl3_Task$offset_transformed()}} -\item \href{#method-print}{\code{sl3_Task$print()}} -\item \href{#method-revere_fold_task}{\code{sl3_Task$revere_fold_task()}} -\item \href{#method-clone}{\code{sl3_Task$clone()}} -} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{sl3_Task$new( - data, - covariates, - outcome = NULL, - outcome_type = NULL, - outcome_levels = NULL, - id = NULL, - weights = NULL, - offset = NULL, - nodes = NULL, - column_names = NULL, - row_index = NULL, - folds = NULL, - flag = TRUE, - drop_missing_outcome = FALSE -)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{add_interactions()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{sl3_Task$add_interactions(interactions, warn_on_existing = TRUE)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{add_columns()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{sl3_Task$add_columns(new_data, column_uuid = uuid::UUIDgenerate())}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{next_in_chain()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{sl3_Task$next_in_chain( - covariates = NULL, - outcome = NULL, - id = NULL, - weights = NULL, - offset = NULL, - folds = NULL, - column_names = NULL, - new_nodes = NULL, - ... -)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{subset_task()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{sl3_Task$subset_task(row_index, drop_folds = FALSE)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{get_data()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{sl3_Task$get_data(rows = NULL, columns, expand_factors = FALSE)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{has_node()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{sl3_Task$has_node(node_name)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{get_node()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{sl3_Task$get_node(node_name, generator_fun = NULL, expand_factors = FALSE)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{offset_transformed()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{sl3_Task$offset_transformed(link_fun = NULL, for_prediction = FALSE)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{print()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{sl3_Task$print()}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{revere_fold_task()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{sl3_Task$revere_fold_task(fold_number)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{sl3_Task$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/sl3_revere_Task.Rd b/man/sl3_revere_Task.Rd index 01be7a56..68589a62 100644 --- a/man/sl3_revere_Task.Rd +++ b/man/sl3_revere_Task.Rd @@ -4,10 +4,6 @@ \name{sl3_revere_Task} \alias{sl3_revere_Task} \title{Revere (SplitSpecific) Task} -\format{An object of class \code{R6ClassGenerator} of length 25.} -\usage{ -sl3_revere_Task -} \description{ A task that has different realizations in different folds Useful for Revere CV operations @@ -18,70 +14,3 @@ Learners with property "cv" must use these tasks correctly Other learners will treat this as the equivalent of the "full" task. } \keyword{data} -\section{Super class}{ -\code{\link[sl3:sl3_Task]{sl3::sl3_Task}} -> \code{sl3_revere_Task} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{sl3_revere_Task$new()}} -\item \href{#method-revere_fold_task}{\code{sl3_revere_Task$revere_fold_task()}} -\item \href{#method-print}{\code{sl3_revere_Task$print()}} -\item \href{#method-clone}{\code{sl3_revere_Task$clone()}} -} -} -\if{html}{ -\out{
Inherited methods} -\itemize{ -\item \out{}\href{../../sl3/html/sl3_Task.html#method-add_columns}{\code{sl3::sl3_Task$add_columns()}}\out{} -\item \out{}\href{../../sl3/html/sl3_Task.html#method-add_interactions}{\code{sl3::sl3_Task$add_interactions()}}\out{} -\item \out{}\href{../../sl3/html/sl3_Task.html#method-get_data}{\code{sl3::sl3_Task$get_data()}}\out{} -\item \out{}\href{../../sl3/html/sl3_Task.html#method-get_node}{\code{sl3::sl3_Task$get_node()}}\out{} -\item \out{}\href{../../sl3/html/sl3_Task.html#method-has_node}{\code{sl3::sl3_Task$has_node()}}\out{} -\item \out{}\href{../../sl3/html/sl3_Task.html#method-next_in_chain}{\code{sl3::sl3_Task$next_in_chain()}}\out{} -\item \out{}\href{../../sl3/html/sl3_Task.html#method-offset_transformed}{\code{sl3::sl3_Task$offset_transformed()}}\out{} -\item \out{}\href{../../sl3/html/sl3_Task.html#method-subset_task}{\code{sl3::sl3_Task$subset_task()}}\out{} -} -\out{
} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{sl3_revere_Task$new(generator_fun, task)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{revere_fold_task()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{sl3_revere_Task$revere_fold_task(fold_number)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{print()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{sl3_revere_Task$print()}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{sl3_revere_Task$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} diff --git a/man/undocumented_learner.Rd b/man/undocumented_learner.Rd index 1192bf11..a5ab8c30 100644 --- a/man/undocumented_learner.Rd +++ b/man/undocumented_learner.Rd @@ -20,44 +20,6 @@ includes things like model hyperparameters.} }} \seealso{ -<<<<<<< HEAD -Other Learners: \code{\link{Custom_chain}}, - \code{\link{Lrnr_HarmonicReg}}, \code{\link{Lrnr_arima}}, - \code{\link{Lrnr_bartMachine}}, \code{\link{Lrnr_base}}, - \code{\link{Lrnr_bilstm}}, \code{\link{Lrnr_caret}}, - \code{\link{Lrnr_condensier}}, \code{\link{Lrnr_cv}}, - \code{\link{Lrnr_dbarts}}, - \code{\link{Lrnr_define_interactions}}, - \code{\link{Lrnr_density_discretize}}, - \code{\link{Lrnr_density_hse}}, - \code{\link{Lrnr_density_semiparametric}}, - \code{\link{Lrnr_earth}}, \code{\link{Lrnr_expSmooth}}, - \code{\link{Lrnr_gam}}, \code{\link{Lrnr_gbm}}, - \code{\link{Lrnr_glm_fast}}, \code{\link{Lrnr_glmnet}}, - \code{\link{Lrnr_glm}}, \code{\link{Lrnr_grf}}, - \code{\link{Lrnr_h2o_grid}}, \code{\link{Lrnr_hal9001}}, - \code{\link{Lrnr_haldensify}}, - \code{\link{Lrnr_independent_binomial}}, - \code{\link{Lrnr_lstm}}, \code{\link{Lrnr_mean}}, - \code{\link{Lrnr_multivariate}}, \code{\link{Lrnr_nnls}}, - \code{\link{Lrnr_optim}}, \code{\link{Lrnr_pca}}, - \code{\link{Lrnr_pkg_SuperLearner}}, - \code{\link{Lrnr_polspline}}, - \code{\link{Lrnr_pooled_hazards}}, - \code{\link{Lrnr_randomForest}}, - \code{\link{Lrnr_ranger}}, - \code{\link{Lrnr_revere_task}}, \code{\link{Lrnr_rfcde}}, - \code{\link{Lrnr_rpart}}, \code{\link{Lrnr_rugarch}}, - \code{\link{Lrnr_screener_corP}}, - \code{\link{Lrnr_screener_corRank}}, - \code{\link{Lrnr_screener_randomForest}}, - \code{\link{Lrnr_sl}}, \code{\link{Lrnr_solnp_density}}, - \code{\link{Lrnr_solnp}}, \code{\link{Lrnr_stratified}}, - \code{\link{Lrnr_subset_covariates}}, - \code{\link{Lrnr_svm}}, \code{\link{Lrnr_tsDyn}}, - \code{\link{Lrnr_xgboost}}, \code{\link{Pipeline}}, - \code{\link{Stack}}, \code{\link{define_h2o_X}} -======= Other Learners: \code{\link{Custom_chain}}, \code{\link{Lrnr_HarmonicReg}}, @@ -116,7 +78,6 @@ Other Learners: \code{\link{Pipeline}}, \code{\link{Stack}}, \code{\link{define_h2o_X}()} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad } \concept{Learners} \keyword{data} diff --git a/man/variable_type.Rd b/man/variable_type.Rd index 07c68309..20943756 100644 --- a/man/variable_type.Rd +++ b/man/variable_type.Rd @@ -1,14 +1,10 @@ % Generated by roxygen2: do not edit by hand % Please edit documentation in R/Variable_Type.R -\docType{data} \name{Variable_Type} \alias{Variable_Type} \alias{variable_type} \title{Specify variable type} -\format{An object of class \code{R6ClassGenerator} of length 25.} \usage{ -Variable_Type - variable_type(type = NULL, levels = NULL, bounds = NULL, x = NULL, pcontinuous = getOption("sl3.pcontinuous")) } @@ -27,72 +23,3 @@ observations above which variable is continuous} \description{ Specify variable type } -<<<<<<< HEAD -\keyword{datasets} -======= -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{Variable_Type$new()}} -\item \href{#method-print}{\code{Variable_Type$print()}} -\item \href{#method-glm_family}{\code{Variable_Type$glm_family()}} -\item \href{#method-format}{\code{Variable_Type$format()}} -\item \href{#method-clone}{\code{Variable_Type$clone()}} -} -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Variable_Type$new( - type = NULL, - levels = NULL, - bounds = NULL, - x = NULL, - pcontinuous = getOption("sl3.pcontinuous") -)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{print()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Variable_Type$print()}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{glm_family()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Variable_Type$glm_family(return_object = FALSE)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{format()}}{ -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Variable_Type$format(x)}\if{html}{\out{
}} -} - -} -\if{html}{\out{
}} -\if{html}{\out{}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
}}\preformatted{Variable_Type$clone(deep = FALSE)}\if{html}{\out{
}} -} - -\subsection{Arguments}{ -\if{html}{\out{
}} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
}} -} -} -} ->>>>>>> 63d08007057d111e9839e207e70488ebc006f5ad diff --git a/tests/testthat/test-keras.R b/tests/testthat/test-keras.R index 38ecb89f..aa94856f 100644 --- a/tests/testthat/test-keras.R +++ b/tests/testthat/test-keras.R @@ -22,48 +22,48 @@ trend_all <- 11:130 + rnorm(120, sd = 2) trend_all <- data.frame(data = trend_all) task <- sl3_Task$new(trend_all, covariates = "data", outcome = "data") -#See which environments reticulate can see: -#reticulate:::conda_list() -#use_condaenv("r-reticulate") -#import("scipy") -#import("tensorflow") +# See which environments reticulate can see: +# reticulate:::conda_list() +# use_condaenv("r-reticulate") +# import("scipy") +# import("tensorflow") -#Install keras: -#install.packages("keras") -#keras::install_keras() +# Install keras: +# install.packages("keras") +# keras::install_keras() test_that("Lrnr_lstm does what we expect", { have_foo <- reticulate::py_module_available("keras.models") - + if (!(have_foo)) { skip("keras.models not available for testing") } else { reticulate::import("keras.models") - + lstm_learner <- Lrnr_lstm$new(epochs = 1) lstm_fit <- lstm_learner$train(task) lstm_preds <- lstm_fit$predict(task) - - #At epochs=1 (saves time) the prediction is too variable to be tested - #expect_true(sum(lstm_preds)-28.95605 < 10^(-1)) + + # At epochs=1 (saves time) the prediction is too variable to be tested + # expect_true(sum(lstm_preds)-28.95605 < 10^(-1)) expect_equal(length(lstm_preds), nrow(task$X) - 5) } }) test_that("Lrnr_bilstm does what we expect", { have_foo <- reticulate::py_module_available("keras.models") - + if (!(have_foo)) { skip("keras.models not available for testing") } else { reticulate::import("keras.models") - + bilstm_learner <- Lrnr_bilstm$new(epochs = 1) bilstm_fit <- bilstm_learner$train(task) bilstm_preds <- bilstm_fit$predict(task) - - #At epochs=1 (saves time) the prediction is too variable to be tested - #expect_true(sum(bilstm_preds)-118.5766 < 10^(-1)) + + # At epochs=1 (saves time) the prediction is too variable to be tested + # expect_true(sum(bilstm_preds)-118.5766 < 10^(-1)) expect_equal(length(bilstm_preds), nrow(task$X) - 5) } })