group_variables: Helper function that combines clustering variables and...

In triplot: Explaining Correlated Features in Machine Learning Models

Description

Divides correlated features into groups, called aspects. Division is based on correlation cutoff level.

Usage

group_variables(x, h, clust_method = "complete", cor_method = "spearman")

Arguments

x	hclust object
h	correlation value for tree cutting
clust_method	the agglomeration method to be used see hclust methods
cor_method	the correlation method to be used see cor methods

Value

list with aspect

Examples

library("DALEX")
dragons_data <- dragons[,c(2,3,4,7,8)]
group_variables(dragons_data, h = 0.5, clust_method = "complete")

triplot documentation built on July 13, 2020, 5:08 p.m.