Conditioner

MultinomialOutcomeTreatment

R Documentation

Stateful object for designing and applying multinomial outcome treatments.

Description

Hold settings and results for multinomial classification data preparation.

Usage

MultinomialOutcomeTreatment(
  ...,
  var_list,
  outcome_name,
  cols_to_copy = NULL,
  params = NULL,
  imputation_map = NULL
)

Arguments

`...`	not used, force arguments to be specified by name.
`var_list`	Names of columns to treat (effective variables).
`outcome_name`	Name of column holding outcome variable. `dframe[[outcomename]]` must be only finite non-missing values.
`cols_to_copy`	list of extra columns to copy.
`params`	parameters list from `multinomial_parameters`
`imputation_map`	map from column names to functions of signature f(values: numeric, weights: numeric), simple missing value imputers.

Details

Please see https://github.com/WinVector/vtreat/blob/main/Examples/fit_transform/fit_transform_api.md, mkCrossFrameMExperiment and prepare.multinomial_plan for details.

Note: there currently is no designTreatmentsM, so MultinomialOutcomeTreatment$fit() is implemented in terms of MultinomialOutcomeTreatment$fit_transform()

WinVector/vtreat documentation built on Jan. 12, 2025, 6:04 a.m.