R: Gradient Boosting on Decision Trees

# Gradient Boosting on Decision Trees

## Documentation for package ‘catboost’ version 1.0.3

- DESCRIPTION file.

## 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