Man pages for stevenpawley/h2oparsnip
Model Wrappers for H2O models

automlGeneral interface for automl models
control_h2oControl aspects of the grid search process
extract_h2o_modelsExtract the h2o model ids for all of the tuning grids and...
extract_h2o_predsExtract the predictions for each tuning grid from the h2o...
extract_h2o_scoresScore the tuning results
h2o_automl_trainWrapper for training a h2o.automl model
h2o_gbm_trainWrapper for training a h2o.gbm model as part of a parsnip...
h2o_glm_trainWrapper for training a h2o.glm model as part of a parsnip
h2o_mlp_trainWrapper for training a h2o.deeplearning model as part of a...
h2o_naiveBayes_trainWrapper for training a h2o.naiveBayes model as part of a...
h2o_rf_trainWrapper for training a h2o.randomForest model as part of a...
h2o_rulefit_trainWrapper for training a h2o.rulefit model as part of a parsnip...
model_spec_to_algorithmReturn the equivalent h2o algorithm name for a parsnip...
mse_vecMean squared error
pipePipe operator
remove_h2o_modelsRemoves the models creating during tuning resampling
tune_grid_h2oTune h2o models
write_h2oSaves an H2O model to file that is contained within a fitted...
stevenpawley/h2oparsnip documentation built on June 20, 2022, 12:48 p.m.