pred_plot {radiant.model} | R Documentation |
Prediction Plots
Description
Prediction Plots
Usage
pred_plot(
x,
plot_list = list(),
incl,
incl_int,
fix = TRUE,
hline = TRUE,
nr = 20,
minq = 0.025,
maxq = 0.975
)
Arguments
x |
Return value from a model |
plot_list |
List used to store plots |
incl |
Which variables to include in prediction plots |
incl_int |
Which interactions to investigate in prediction plots |
fix |
Set the desired limited on yhat or have it calculated automatically. Set to FALSE to have y-axis limits set by ggplot2 for each plot |
hline |
Add a horizontal line at the average of the target variable. When set to FALSE no line is added. When set to a specific number, the horizontal line will be added at that value |
nr |
Number of values to use to generate predictions for a numeric explanatory variable |
minq |
Quantile to use for the minimum value for simulation of numeric variables |
maxq |
Quantile to use for the maximum value for simulation of numeric variables |
Details
Faster, but less robust, alternative for PDP plots. Variable values not included in the prediction are set to either the mean or the most common value (level)