visualize_pps: Visualize the Predictive Power scores of the entire...

In ppsr: Predictive Power Score

Description

If y is specified, visualize_pps returns a barplot of the PPS of every predictor on the specified target variable. If y is not specified, visualize_pps returns a heatmap visualization of the PPS for all X-Y combinations in a dataframe.

Usage

visualize_pps(
  df,
  y = NULL,
  color_value_high = "#08306B",
  color_value_low = "#FFFFFF",
  color_text = "#FFFFFF",
  include_target = TRUE,
  ...
)

Arguments

df	data.frame containing columns for x and y
y	string, column name of target variable, can be left NULL to visualize all X-Y PPS
color_value_high	string, hex value or color name used for upper limit of PPS gradient (high PPS)
color_value_low	string, hex value or color name used for lower limit of PPS gradient (low PPS)
color_text	string, hex value or color name used for text, best to pick high contrast with color_value_high
include_target	boolean, whether to include the target variable in the barplot
...	any arguments passed to score

Value

a ggplot object, a vertical barplot or heatmap visualization

Examples

visualize_pps(iris, y = 'Species')

visualize_pps(iris)

visualize_pps(mtcars, do_parallel = TRUE, n_cores = 2)

ppsr documentation built on March 2, 2021, 5:06 p.m.