plot.FeatureEffect: Plot FeatureEffect

In iml: Interpretable Machine Learning

Plot FeatureEffect

Description

plot.FeatureEffect() plots the results of a FeatureEffect object.

Usage

## S3 method for class 'FeatureEffect'
plot(x, rug = TRUE, show.data = FALSE, ylim = NULL)

Arguments

x	A FeatureEffect object.
rug	logical Should a rug be plotted to indicate the feature distribution? The rug will be jittered a bit, so the location may not be exact, but it avoids overplotting.
show.data	(logical(1)) Should the data points be shown? Only affects 2D plots, and ignored for 1D plots, because rug has the same information.
ylim	(numeric(2)) Vector with two coordinates for the y-axis. Only works when one feature is used in FeatureEffect, ignored when two are used.

Value

ggplot2 plot object

See Also

FeatureEffect

Examples

# We train a random forest on the Boston dataset:
if (require("randomForest")) {
  data("Boston", package = "MASS")
  rf <- randomForest(medv ~ ., data = Boston, ntree = 50)
  mod <- Predictor$new(rf, data = Boston)

  # Compute the ALE for the first feature
  eff <- FeatureEffect$new(mod, feature = "crim")

  # Plot the results directly
  plot(eff)
}

iml documentation built on May 29, 2024, 1:59 a.m.