Tidy Model Stacking


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Documentation for package ‘stacks’ version 1.0.4

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stacks-package stacks: Tidy Model Stacking
add_candidates Add model definitions to a data stack
augment.model_stack Augment a model stack
autoplot.linear_stack Plot results of a stacked ensemble model.
axe_call.model_stack Axing a model_stack.
axe_ctrl.model_stack Axing a model_stack.
axe_data.model_stack Axing a model_stack.
axe_env.model_stack Axing a model_stack.
axe_fitted.model_stack Axing a model_stack.
axe_model_stack Axing a model_stack.
blend_predictions Determine stacking coefficients from a data stack
class_folds Example Objects
class_res_nn Example Objects
class_res_rf Example Objects
collect_parameters Collect candidate parameters and stacking coefficients
collect_parameters.data_stack Collect candidate parameters and stacking coefficients
collect_parameters.default Collect candidate parameters and stacking coefficients
collect_parameters.model_stack Collect candidate parameters and stacking coefficients
control_stack_bayes Control wrappers
control_stack_grid Control wrappers
control_stack_resamples Control wrappers
example_data Example Objects
fit_members Fit model stack members with non-zero stacking coefficients
get_expressions Obtain prediction equations for all possible values of type
get_expressions._elnet Obtain prediction equations for all possible values of type
get_expressions._lognet Obtain prediction equations for all possible values of type
get_expressions._multnet Obtain prediction equations for all possible values of type
log_res_nn Example Objects
log_res_rf Example Objects
predict.data_stack Predicting with a model stack
predict.model_stack Predicting with a model stack
reg_folds Example Objects
reg_res_lr Example Objects
reg_res_sp Example Objects
reg_res_svm Example Objects
stacks Initialize a Stack
stacks_description stacks: Tidy Model Stacking
stacks_package stacks: Tidy Model Stacking
tree_frogs Tree frog embryo hatching data
tree_frogs_class_test Example Objects
tree_frogs_reg_test Example Objects