Function reference • stacks

Core Verbs
`stacks()`	Initialize a Stack
`add_candidates()`	Add model definitions to a data stack
`blend_predictions()`	Determine stacking coefficients from a data stack
`fit_members()`	Fit model stack members with non-zero stacking coefficients
Helpers
`collect_parameters()`	Collect candidate parameters and stacking coefficients
`control_stack_grid()` `control_stack_resamples()` `control_stack_bayes()`	Control wrappers
`get_expressions`	Obtain prediction equations for all possible values of type
Example Data and Documentation
`reg_res_svm` `reg_res_sp` `reg_res_lr` `reg_folds` `class_res_nn` `class_res_rf` `class_folds` `log_res_nn` `log_res_rf`	Example Objects
`tree_frogs`	Tree frog embryo hatching data
`stacks_description`	stacks: Tidy Model Stacking
Methods
`autoplot(<linear_stack>)`	Plot results of a stacked ensemble model.
`axe_call(<model_stack>)` `axe_ctrl(<model_stack>)` `axe_data(<model_stack>)` `axe_env(<model_stack>)` `axe_fitted(<model_stack>)`	Axing a model_stack.
`predict(<data_stack>)`	Predicting with a model stack
`predict(<model_stack>)`	Predicting with a model stack

Reference