egalitarian: Preprocess data and model before analysis.

In mstaniak/egalitaRian: Compare Validation and Training Datasets and Explore Differences

Description

Preprocess data and model before analysis.

Usage

egalitarian(training_set, validation_set, target, model = NULL)

Arguments

training_set	Data frame on which model was trained.
validation_set	Data frame with the same columns as training_set.
target	Character, name of the response variable.
model	Model to be explained by local explainers. If NULL, only global comparisons of distributions can be performed on the result object.

Value

list of class egalitarian that consists of

data	data object from 'egalitarian' object
model	model from 'egalitarian' object
target_name	name of the response variable

mstaniak/egalitaRian documentation built on Aug. 26, 2019, 11:11 p.m.