internal_make_wflw_predictions: Internals Safely Make Predictions on a Fitted Workflow from...

In tidyAML: Automatic Machine Learning with 'tidymodels'

Internals Safely Make Predictions on a Fitted Workflow from Model Spec tibble

Description

Safely Make predictions on a fitted workflow from a model spec tibble.

Usage

internal_make_wflw_predictions(.model_tbl, .splits_obj)

Arguments

.model_tbl	The model table that is generated from a function like fast_regression_parsnip_spec_tbl(), must have a class of "tidyaml_mod_spec_tbl". This is meant to be used after the function internal_make_fitted_wflw() has been run and the tibble has been saved.
.splits_obj	The splits object from the auto_ml function. It is internal to the auto_ml_ function.

Details

Create predictions on a fitted parnsip model from a workflow object.

Value

A list object tibble of the outcome variable and it's values along with the testing and training predictions in a single tibble.

.data_category	.data_type	.value
actual	actual	21.0
actual	actual	21.0
actual	actual	22.8
...	...	...
predicted	training	21.0
...	...	...
predicted	training	21.0

Author(s)

Steven P. Sanderson II, MPH

See Also

Other Internals: internal_make_fitted_wflw(), internal_make_spec_tbl(), internal_make_wflw(), internal_make_wflw_gee_lin_reg(), internal_set_args_to_tune(), make_classification_base_tbl(), make_regression_base_tbl()

Examples

library(recipes, quietly = TRUE)

mod_spec_tbl <- fast_regression_parsnip_spec_tbl(
  .parsnip_eng = c("lm","glm"),
  .parsnip_fns = "linear_reg"
)

rec_obj <- recipe(mpg ~ ., data = mtcars)
splits_obj <- create_splits(mtcars, "initial_split")

mod_tbl <- mod_spec_tbl |>
  mutate(wflw = full_internal_make_wflw(mod_spec_tbl, rec_obj))

mod_fitted_tbl <- mod_tbl |>
  mutate(fitted_wflw = internal_make_fitted_wflw(mod_tbl, splits_obj))

internal_make_wflw_predictions(mod_fitted_tbl, splits_obj)

tidyAML documentation built on May 29, 2024, 4:07 a.m.