Great explanations!
A noticed a small mistake in the Kernel SHAP section. When converting z' to the original feature space, we use h⁻¹ (the inverse of h mapping function, as in the paper). Same error in the loss function definition.
Cheers
Great explanations!
A noticed a small mistake in the Kernel SHAP section. When converting z' to the original feature space, we use h⁻¹ (the inverse of h mapping function, as in the paper). Same error in the loss function definition.
Cheers
I am a machine learning engineer at Armis and I love to learn and share my passion for data science — https://www.linkedin.com/in/adrien-biarnes-81975717