Gradient Boosting on Decision Trees


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Documentation for package ‘catboost’ version 0.20

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catboost.caret Support caret interface
catboost.cv Cross-validate model.
catboost.drop_unused_features Drop unused features information from model
catboost.get_feature_importance Calculate the feature importances
catboost.get_model_params Model parameters
catboost.get_object_importance Calculate the object importances
catboost.load_model Load the model
catboost.load_pool Create a dataset
catboost.predict Apply the model
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
dim.catboost.Pool Dimensions of catboost.Pool
dimnames.catboost.Pool Dimension names of catboost.Pool
head.catboost.Pool Head of catboost.Pool
print.catboost.Pool Print catboost.Pool
tail.catboost.Pool Tail of catboost.Pool