mikropml (version 1.6.1)

get_binary_corr_mat: Identify correlated features as a binary matrix

Description

Identify correlated features as a binary matrix

Usage

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

Value

A binary matrix of correlated features

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)

Author

Kelly Sovacool,

Examples

if (FALSE) {
features <- data.frame(
  a = 1:3, b = 2:4, c = c(1, 0, 1),
  d = (5:7), e = c(5, 1, 4)
)
get_binary_corr_mat(features)
}