Shap: KernelExplainer not support sklearn.svm.SVR?

Created on 23 Mar 2019  路  1Comment  路  Source: slundberg/shap

For some experiments I'm doing sklearn.svm.SVR gets the best results. SHAP seems to support SVC but not SVR (regressor).

Is there any way to calculate shap values, graphs, etc. with this sklearn algorithm?

Greetings and thanks.

picture juanramonua

Most helpful comment

I answer myself. I just saw an example to use a regressor:
explainer = shap.KernelExplainer(model.predict, X_train)
I used model instead of model.predict.

Regards,

picture juanramonua on 23 Mar 2019
👍3

>All comments

I answer myself. I just saw an example to use a regressor:
explainer = shap.KernelExplainer(model.predict, X_train)
I used model instead of model.predict.

Regards,

juanramonua picture juanramonua on 23 Mar 2019
👍3
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