sklearn-onnx
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Does it support feature engineering processing of sklearn? For example, fill in the missing values, encode the category features with one hot, and so on
Does it support feature engineering processing of sklearn? For example, fill in the missing values, encode the category features with one hot, and so on.
Most of the model are supported. The whole list is available in the documentation: http://onnx.ai/sklearn-onnx/supported.html. Only sparse is not supported yet.