tune-internal-functions: Internal functions used by other tidymodels packages
In tune: Tidy Tuning Tools

forge_from_workflow

R Documentation

Internal functions used by other tidymodels packages

Description

These are not to be meant to be invoked directly by users.

Usage

forge_from_workflow(new_data, workflow)

finalize_workflow_preprocessor(workflow, grid_preprocessor)

.estimate_metrics(
  dat,
  metric,
  param_names,
  outcome_name,
  event_level,
  metrics_info = metrics_info(metrics)
)

.load_namespace(x)

initialize_catalog(control, env = rlang::caller_env())

.catch_and_log(.expr, ..., bad_only = FALSE, notes, catalog = TRUE)

.catch_and_log_fit(.expr, ..., notes)

Arguments

`new_data`	A data frame or matrix of predictors to process.
`workflow`	A workflow.
`grid_preprocessor`	A tibble with parameter information.
`dat`	A data set.
`metric`	A metric set.
`param_names`	A character vector of tuning parameter names.
`outcome_name`	A character string for the column of `dat` that is the outcome.
`event_level`	A logical passed from the control function.
`metrics_info`	The output of `tune:::metrics_info(metrics)`—only included as an argument to allow for pre-computing.
`x`	A character vector of package names.
`.expr`	Code to execute.
`...`	Object to pass to the internal `tune_log()` function.
`bad_only`	A logical for whether warnings and errors should be caught.
`notes`	Character data to add to the logging.
`catalog`	A logical passed to `tune_log()` giving whether the message is compatible with the issue cataloger. Defaults to `TRUE`. Updates that are always unique and do not represent a tuning "issue" can bypass the cataloger by setting `catalog = FALSE`.