plot.light_ice: Visualize ICE profiles

In flashlight: Shed Light on Black Box Machine Learning Models

Visualize ICE profiles

Description

Minimal visualization of an object of class "light_ice" as ggplot2::geom_line(). The object returned is of class "ggplot" and can be further customized.

Usage

## S3 method for class 'light_ice'
plot(x, facet_scales = "fixed", rotate_x = FALSE, ...)

Arguments

x	An object of class "light_ice".
facet_scales	Scales argument passed to ggplot2::facet_wrap().
rotate_x	Should x axis labels be rotated by 45 degrees?
...	Further arguments passed to ggplot2::geom_line().

Details

Each observation is visualized by a line. The first "by" variable is represented by the color, a second "by" variable or a multiflashlight by facets.

Value

An object of class "ggplot".

See Also

light_ice()

Examples

fit_full <- lm(Sepal.Length ~ ., data = iris)
fit_part <- lm(Sepal.Length ~ Petal.Length, data = iris)
mod_full <- flashlight(model = fit_full, label = "full", data = iris)
mod_part <- flashlight(model = fit_part, label = "part", data = iris)
mods <- multiflashlight(list(mod_full, mod_part))
plot(light_ice(mod_full, v = "Species"), alpha = 0.2)
indices <- (1:15) * 10
plot(light_ice(mods, v = "Species", indices = indices))
plot(light_ice(mods, v = "Species", indices = indices, center = "first"))
plot(light_ice(mods, v = "Petal.Width", by = "Species", n_bins = 5, indices = indices))

flashlight documentation built on May 31, 2023, 6:19 p.m.