target_encoder: target_encoder

In gm209/gmtools: A collection of generic ML functions for Insurance Risk Modelling

Description

A wrapper for .target_encode that makes target encoding a large number of columns easy

Usage

target_encoder(train_df, test_df = NULL, y, x, w = NULL, verbose = FALSE,
  ...)

Arguments

train_df	A data.frame (or coercible object) that contains the training set columns to be encoded
test_df	A data.frame (or coercible object) that contains the test set columns to be encoded
y	A string containing the name of the target column
x	A string containing the names of the columns to be processed
w	A string containing the name of the weight column. Defaults to NULL.
verbose	A logical indicating whether to print run time progress messages or not.
...	Further arguments to be passed to .target_encode

gm209/gmtools documentation built on May 22, 2019, 2:39 p.m.