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 get_expressions._multnet get_expressions._lognet get_expressions._elnet: 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_package stacks-package: 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

augment(<model_stack>): Augment a model stack