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Internal functions used by other tidymodels packages

Source: R/grid_helpers.R, R/grid_performance.R, R/load_ns.R, and 1 more
tune-internal-functions.Rd

[Deprecated]

finalize_workflow_preprocessor() is deprecated.

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(), workflow = NULL)

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

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 update_printer() 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 update_printer() 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.