internal_make_wflw_predictions {tidyAML} | R Documentation |
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
|
.splits_obj |
The splits object from the auto_ml function. It is internal
to the |
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)