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