Description Usage Arguments Author(s) References Examples
View source: R/explainability.R
Visualization of 2D PDP vs. unexplained residual predictions.
1 2 3 4 5 6 7 8 9 10 11 12 |
model |
A model with corresponding predict function that returns numeric values. |
x |
Data frame. |
vnames |
Character vector of the variable set for which the patial dependence function is to be computed. |
type |
Character, either |
depth |
Integer specifiying the number colours in the heat map. |
alpha |
Numeric value for alpha blending of the points in the scatter plot. |
right |
Position where to place the legend relative to the range of the x axis. |
top |
Position where to place the legend relative to the range of the y axis. |
digits |
Nuber of digits for rounding in the legend. |
... |
Further arguments to be passed to the |
Szepannek, G. (2019): How Much Can We See? A Note on Quantifying Explainability of Machine Learning Models, arXiv:1910.13376 [stat.ML].
1 2 3 4 5 6 7 8 9 |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.