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Add support for Gradient Boosting from scikit-learn #232
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Hi @abhishek-finstack ! I believe you can transpile all underlying weak estimators stored in
And then manually write a sumup function according to the following original code. |
I believe implementing support for |
Added into feature-request hub #491. |
Is there any way to transpile sklearn GBM models? I know it's not supported in the library. But maybe some way to convert it into one of the supported models, and then transpile. Any leads would be appreciated. Thanks!
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