Cluster streaming #13
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…nto clustering_review
Clustering review
* Handling of null datetimes in pandas dataframes, pandas > 1.0 now default for support * removal of error trap * Minor change to structure of dt_convert * unneccesary conversion to timestamp * wording update * addition of missing xval folder from releases * updated ksdistrib to correspond with scipy * sanity check for scipy version within select.q added * new grid/random/sobol searching methods * sobol requirements * requirement updates for sobol * check for number of random hps * sobol check fix * gs/rs tests * addition of 1st pass graph/pipeline code * initial pass at graphing tests * Increased testing, covering base functionality * update to account for testing and packaging of graph functionality * updated tab2df to account for list of char being passed * addition of most basic modules to ml toolkit (loading/saving data) * addition of loading and saving modules to ml graph library (most basic generally useful module) * update to graph functionality to handle generic dictionaries * minor update to graph.t to increase converage and explicitly test the output error not just that function errors * addition of node update failing functions * added labelencode function and tests to preproc * update to labelencode functionality and addition of application function for this * addition of time series and optimization functionality for oct 7th release * update to tests to correctly load data * update to README to add in reference to optimization, graphing and time series * added README for timeseries * changed time series to lower case * first pass at optimization tests * addition of datasets for testing * update to test data path * update to tests to handle discrepencies between q versions * update to optimize test and addition of dictCheck tests * revert of prediction functionality as tests are already covered * removal of sobol-seq from from requirements due to lack of conda install and issues with using this and conda * reintroduction of requirements file * trigger build * reordering of requirements to trigger build * stationality -> stationarity as this is the correct term * renaming of dataset for stationarity * movement from conda to pip install with docker * fixed windowed feat function * full coverage of failing tests for graph library * updated appveyor files * addition of width parameter to autocorrelation plot * addition of timeseries and optimization tests * included optimization files and fixed cluster test * added saved input files for optim func * restructure * restructure and addition of windows data * restructure and addition of windows data * separate windows and linux folders * updated optim tests for windows/linux Co-authored-by: dmorgankx <[email protected]> Co-authored-by: Deanna Morgan <[email protected]> Co-authored-by: Dianeod <[email protected]> Co-authored-by: Dianeod <[email protected]>
* set autocorrelation of lag 0 to be 1 * updated fix for differencing in timeseries models * windows test files Co-authored-by: dmorgankx <[email protected]> Co-authored-by: Deanna Morgan <[email protected]>
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