cross_validate: Perform cross-validation on a nested_cv rsample object

In stevenpawley/tidycrossval: Hyperparameter Tuning Using Tidymodel Principles

Description

Perform cross-validation on a nested_cv rsample object

Usage

cross_validate(resamples, object, recipe = NULL, scoring,
  keep_preds = TRUE, keep_models = FALSE,
  .options = future_options())

Arguments

resamples	nested_cv object
object	parsnip model specification, or a pipeline object
recipe	recipe, optional if using pipeline object
scoring	yardstick scoring function
keep_preds	logical, store predictions per fold in a 'predictions' column, default is TRUE
keep_models	logical, store fitted models per fold in a 'models' column, default is FALSE
.options	future_options to pass additional packages required by tuning and fitting functions

Value

tibble

stevenpawley/tidycrossval documentation built on Oct. 3, 2019, 3:32 p.m.