plotFeatureImportance: Visualize the feature importance
In schalkdaniel/compboost: Efficient Component-Wise Boosting Implementation

plotFeatureImportance

R Documentation

Visualize the feature importance

Description

This function visualizes the feature importance as horizontal bar plot.

Usage

plotFeatureImportance(cboost, num_feats = NULL, aggregate = TRUE)

Arguments

`cboost`	(Compboost) A trained Compboost object.
`num_feats`	(`integer(1L)`) Number of features that are visualized. All features are added if set to `NULL`.
`aggregate`	(`logical(1L)`) Flag whether the feature importance is aggregated by feature. Otherwise it is visualized per base learner.

Value

ggplot object containing the graphic.

Examples

cboost = boostSplines(data = iris, target = "Sepal.Length", loss = LossQuadratic$new())
plotFeatureImportance(cboost)
plotFeatureImportance(cboost, num_feats = 2)
plotFeatureImportance(cboost, num_feats = 2, aggregate = FALSE)

schalkdaniel/compboost documentation built on April 15, 2023, 9:03 p.m.