R: Stacked Gradient Boosting Machines

# Stacked Gradient Boosting Machines

## Documentation for package ‘stackgbm’ version 0.1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

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