Stacked Gradient Boosting Machines

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Documentation for package ‘stackgbm’ version 0.1.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

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