Gradient Boosting on Decision Trees
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Documentation for package ‘catboost’ version 1.0.4
Help Pages
| catboost.caret | Support caret interface |
| catboost.cv | Cross-validate model. |
| catboost.drop_unused_features | Drop unused features information from model |
| catboost.eval_metrics | Calculate metrics. |
| catboost.get_feature_importance | Calculate the feature importances |
| catboost.get_model_params | Model parameters |
| catboost.get_object_importance | Calculate the object importances |
| catboost.get_plain_params | Plain Model parameters |
| catboost.load_model | Load the model |
| catboost.load_pool | Create a dataset |
| catboost.predict | Apply the model |
| catboost.restore_handle | Restore or complete model handle after de-serializing |
| catboost.save_model | Save the model |
| catboost.save_pool | Save the dataset |
| catboost.shrink | Shrink the model |
| catboost.staged_predict | Apply the model for each tree |
| catboost.sum_models | Sum models. |
| catboost.train | Train the model |
| catboost.virtual_ensembles_predict | Apply the model with several virtual ensembles |
| dim.catboost.Pool | Dimensions of catboost.Pool |
| dimnames.catboost.Pool | Dimension names of catboost.Pool |
| head.catboost.Pool | Head of catboost.Pool |
| print.catboost.Model | Print basic information about model |
| print.catboost.Pool | Print catboost.Pool |
| summary.catboost.Model | Print basic information about model |
| tail.catboost.Pool | Tail of catboost.Pool |