Plot partial dependence for tree-based models

Plot partial dependence for tree-based models

Usage

tl_plot_partial_dependence(model, var, n.pts = 20, ...)

Arguments

model

A tidylearn tree-based model object

var

Variable name to plot

n.pts

Number of points for continuous variables (default: 20)

...

Additional arguments

Value

A ggplot object.

Examples

# \donttest{
model <- tl_model(mtcars, mpg ~ ., method = "forest")
tl_plot_partial_dependence(model, var = "wt")
#> Warning: argument is not numeric or logical: returning NA
#> Warning: argument is not numeric or logical: returning NA
#> Warning: argument is not numeric or logical: returning NA
#> Warning: argument is not numeric or logical: returning NA
#> Warning: argument is not numeric or logical: returning NA
#> Warning: argument is not numeric or logical: returning NA
#> Warning: argument is not numeric or logical: returning NA
#> Warning: argument is not numeric or logical: returning NA
#> Warning: argument is not numeric or logical: returning NA
#> Warning: argument is not numeric or logical: returning NA
#> Warning: argument is not numeric or logical: returning NA
#> Warning: argument is not numeric or logical: returning NA
#> Warning: argument is not numeric or logical: returning NA
#> Warning: argument is not numeric or logical: returning NA
#> Warning: argument is not numeric or logical: returning NA
#> Warning: argument is not numeric or logical: returning NA
#> Warning: argument is not numeric or logical: returning NA
#> Warning: argument is not numeric or logical: returning NA
#> Warning: argument is not numeric or logical: returning NA
#> Warning: argument is not numeric or logical: returning NA
#> Warning: Removed 20 rows containing missing values or values outside the scale range
#> (`geom_line()`).
#> Warning: Removed 20 rows containing missing values or values outside the scale range
#> (`geom_point()`).

# }