get_corr_feats: Identify correlated features

In SchlossLab/mikropml: User-Friendly R Package for Supervised Machine Learning Pipelines

Identify correlated features

Description

Identify correlated features

Usage

get_corr_feats(
  features,
  corr_thresh = 1,
  group_neg_corr = TRUE,
  corr_method = "spearman"
)

Arguments

features	a dataframe with each column as a feature for ML
corr_thresh	For feature importance, group correlations above or equal to corr_thresh (range 0 to 1; default: 1).
group_neg_corr	Whether to group negatively correlated features together (e.g. c(0,1) and c(1,0)).
corr_method	correlation method. options or the same as those supported by stats::cor: spearman, pearson, kendall. (default: spearman)

Value

Dataframe of correlated features where the columns are feature1, feature2, and the correlation between those two features (anything exceeding corr_thresh).

Author(s)

Begüm Topçuoğlu, [e-mail]

Zena Lapp, [e-mail]

SchlossLab/mikropml documentation built on Aug. 24, 2023, 9:51 p.m.