Description Usage Arguments Author(s) References Examples
View source: R/explainability.R
Creates a scatterplot matrix of 2D partial dependence plots.
1 |
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. |
depth |
Integer specifiying the number colours in the heat map. |
alpha |
Numeric value for alpha blending of the points in the scatter plot. |
... |
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].
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