- Get back on CRAN (timetk archival)
automl_leaderboard()
: Returns the AutoML Leaderboard from the AutoML run when the model was created.automl_update_model()
: Makes it easy to swap out models from the AutoML Leaderboard.
- Moved
h2o.init()
to skip on CRAN per H2O recommendation. The original issue was related tolibxgboost4j_gpu*.so
being left on the user system when the user's temp library. This is being corrected by H2O.
This is the initial release with key functions:
automl_reg()
: Uses H2O AutoML as a backend for forecasting.save_h2o_model()
andload_h2o_model()
: Saving and loading H2O models and Workflow/Parsnip objects