API for stevenpawley/h2oparsnip
Model Wrappers for H2O models

Global functions
%>% Man page
.onLoad Source code
add_automl Source code
add_boost_tree_h2o Source code
add_linear_reg_h2o Source code
add_logistic_reg_h2o Source code
add_mlp_h2o Source code
add_multinom_reg_h2o Source code
add_naive_Bayes_h2o Source code
add_rand_forest_h2o Source code
add_rule_fit_h2o Source code
automl Man page Source code
control_h2o Man page Source code
convert_h2o_metrics Source code
extract_h2o_models Man page Source code
extract_h2o_preds Man page Source code
extract_h2o_scores Man page Source code
gbm_multi_predict Source code
generate_random_id Source code
h2o_automl_train Man page Source code
h2o_gbm_train Man page Source code
h2o_glm_train Man page Source code
h2o_mlp_train Man page Source code
h2o_naiveBayes_train Man page Source code
h2o_rf_train Man page Source code
h2o_rulefit_train Man page Source code
make_h2o_call Source code
mlp_multi_predict Source code
model_spec_to_algorithm Man page Source code
mse Man page Source code
mse.data.frame Man page Source code
mse_vec Man page Source code
multi_predict._H2OMultinomialModel Source code
multi_predict._H2ORegressionModel Source code
print.automl Source code
read_h2o Man page Source code
read_h2o.model_fit Man page Source code
read_h2o.workflow Man page Source code
remove_h2o_models Man page Source code
rename_list Source code
translate_args Source code
tune_grid_h2o Man page Source code
write_h2o Man page Source code
write_h2o.model_fit Man page Source code
write_h2o.workflow Man page Source code
stevenpawley/h2oparsnip documentation built on June 20, 2022, 12:48 p.m.