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This manual includes features that are part of StataNow™.
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| Intro | Introduction to machine learning and ensemble decision trees StataNow |
| h2oml | Introduction to commands for Stata integration with H2O machine learning StataNow |
| H2O setup | Prepare data for H2O analysis in Stata StataNow |
| h2oml gbm | Gradient boosting machine for regression and classification StataNow |
| h2oml gbbinclass | Gradient boosting binary classification StataNow |
| h2oml gbmulticlass | Gradient boosting multiclass classification StataNow |
| h2oml gbregress | Gradient boosting regression StataNow |
| h20ml rf | Random forest for regression and classification StataNow |
| h2oml rfbinclass | Random forest binary classification StataNow |
| h2oml rfmulticlass | Random forest multiclass classification StataNow | h2oml rfregress | Random forest regression StataNow |
| h2oml postestimation | Postestimation tools for h2oml gbm and h2oml rf StataNow |
| h2omlest | Store and restore H2OML estimation results StataNow |
| h2omlestat aucmulticlass | Display AUC and AUCPR after multiclass classification StataNow |
| h2omlestat confmatrix | Display confusion matrix StataNow |
| h2omlestat cvsummary | Display cross-validation summary StataNow |
| h2omlestat gridsummary | Display grid-search summary StataNow |
| h2omlestat hitratio | Display hit-ratio table StataNow |
| h2omlestat metrics | Display performance metrics StataNow |
| h2omlestat threshmetric | Display threshold-based metrics for binary classification StataNow |
| h2omlexplore | Explore models after grid search StataNow |
| h2omlgof | Compare goodness of fit for machine learning models StataNow |
| h2omlgraph ice | Produce individual conditional expectation plot StataNow |
| h2omlgraph pdp | Produce partial dependence plot StataNow |
| h2omlgraph prcurve | Produce precision–recall curve plot StataNow |
| h2omlgraph roc | Produce ROC curve plot StataNow |
| h2omlgraph scorehistory | Produce score history plot StataNow |
| h2omlgraph shapsummary | Produce SHAP beeswarm plot StataNow |
| h2omlgraph shapvalues | Produce SHAP values plot for individual observations StataNow |
| h2omlgraph varimp | Produce variable importance plot StataNow |
| h2omlpostestframe | Specify frame for postestimation analysis StataNow |
| h2omlselect | Select model after grid search StataNow |
| h2omltree | Save decision tree DOT file and display rule set StataNow |
| DOT extension | Handling DOT files StataNow |
| encode_option | Encoding schemes for categorical predictors StataNow |
| metric_option | Classification and regression metrics StataNow |
| H2O option mapping | Mapping of H2OML estimation options to H2O StataNow |
| H2O reproducibility | Reproducibility in H2O StataNow |
| Glossary | |
| Subject and author index |
