Description Usage Arguments Value Author(s) References Examples
View source: R/explainability.R
Computes explainability and matchplots for a partial dependence function.
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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. |
viz |
Logical specifying whether a matchplot should be created. |
parallel |
Logical specifying whether computation should be parallel. |
sample |
fraction-size for sampling of x. |
pfunction |
User generated predict function. |
... |
Further arguments to be passed to the |
Numeric value with the explainability of the partial dependence function for the variables specified in vnames
.
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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