| catboost_load_pool | Create a dataset | 
| catboost_predict | Predict based on the model | 
| catboost_train | Train the model | 
| cv_catboost | catboost - parameter tuning and model selection with k-fold cross-validation and grid search | 
| cv_lightgbm | lightgbm - parameter tuning and model selection with k-fold cross-validation and grid search | 
| cv_param_grid | Generate a parameter grid for cross-validation | 
| cv_xgboost | xgboost - parameter tuning and model selection with k-fold cross-validation and grid search | 
| is_installed_catboost | Is catboost installed? | 
| is_installed_lightgbm | Is lightgbm installed? | 
| is_installed_xgboost | Is xgboost installed? | 
| lightgbm_train | Train lightgbm model | 
| predict.stackgbm | Make predictions from a stackgbm model object | 
| stackgbm | Model stacking for boosted trees | 
| xgboost_dmatrix | Create xgb.DMatrix object | 
| xgboost_train | Train xgboost model |