dot-target_encode: .target_encode

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

Description

A worker function that does the target encoding of a column

Usage

.target_encode(trn_x, tst_x, trn_y, trn_w = NULL, min_samples_leaf = 1,
  smoothing = 1, noise_level = 0)

Arguments

trn_x	A vector that contains the original x values for the train data
tst_x	A vector that contains the x values for the test data
trn_y	A vector that contains the train set actuals
trn_w	A vector that contains row level weights. Defaults to NULL
min_samples_leaf	Whats the smallest amount of weight that's deemed to be credible?
smoothing	A parameter that controls the aggressiveness of the smoothing
noise_level	How much noise should be injected into the results?

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