Man pages for nanxstats/stackgbm
Stacked Gradient Boosting Machines
| 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... |
| cv_lightgbm | lightgbm - parameter tuning and model selection with k-fold... |
| cv_param_grid | Generate a parameter grid for cross-validation |
| cv_xgboost | xgboost - parameter tuning and model selection with k-fold... |
| 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 |
| stackgbm-package | stackgbm: Stacked Gradient Boosting Machines |
| xgboost_dmatrix | Create xgb.DMatrix object |
| xgboost_train | Train xgboost model |
