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kernelshap involves working with different matrices of different shapes.
We should consistently use feature names for the "p" dimension and prediction names (if available) for the "K" dimension. This would make the code easier to read.
The text was updated successfully, but these errors were encountered:
kernelshap involves working with different matrices of different shapes.
We should consistently use feature names for the "p" dimension and prediction names (if available) for the "K" dimension. This would make the code easier to read.
The text was updated successfully, but these errors were encountered: