Hold settings and results for binomial classification data preparation.

BinomialOutcomeTreatment(
...,
var_list,
outcome_name,
outcome_target = TRUE,
cols_to_copy = NULL,
params = NULL,
imputation_map = NULL
)

## Arguments

... not used, force arguments to be specified by name. Names of columns to treat (effective variables). Name of column holding outcome variable. dframe[[outcomename]] must be only finite and non-missing values. Value/level of outcome to be considered "success", and there must be a cut such that dframe[[outcomename]]==outcometarget at least twice and dframe[[outcomename]]!=outcometarget at least twice. list of extra columns to copy. parameters list from classification_parameters 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/master/Examples/fit_transform/fit_transform_api.md, mkCrossFrameCExperiment, designTreatmentsC, and prepare.treatmentplan for details.