API for interpret
Fit Interpretable Machine Learning Models
| Global functions | |
|---|---|
| apply_term_update | Source code |
| booster | Source code |
| calc_interaction_strength | Source code |
| convert_probability | Source code |
| convert_terms_to_c | Source code |
| create_booster | Source code |
| create_dataset | Source code |
| create_interaction_detector | Source code |
| create_rng | Source code |
| cut_quantile | Source code |
| cyclic_gradient_boost | Source code |
| discretize | Source code |
| ebm_classify | Man page Source code |
| ebm_predict_proba | Man page |
| ebm_show | Man page |
| ebm_term | Source code |
| fill_classification_target | Source code |
| fill_dataset_header | Source code |
| fill_feature | Source code |
| free_booster | Source code |
| free_dataset | Source code |
| free_interaction_detector | Source code |
| generate_term_update | Source code |
| get_best_model | Source code |
| get_best_term_scores | Source code |
| get_count_scores_c | Source code |
| get_current_model | Source code |
| get_current_term_scores | Source code |
| make_dataset | Source code |
| measure_classification_target | Source code |
| measure_dataset_header | Source code |
| measure_feature | Source code |
| normalize_initial_seed | Source code |
| sample_without_replacement | Source code |
