Correct way of converting HistGradientBoostingRegressor with categorical_features?
HistGradientBoostingRegressor supports specification of categorical_features: https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingRegressor.html#sklearn.ensemble.HistGradientBoostingRegressor
What would be the correct initial_type in convert_sklearn(model, initial_types) to achieve this behaviour. Float inputs to ONNX are giving wrong predictions of course.
Pinging @maximilianeber in case you found out a way
Pinging @maximilianeber in case you found out a way
Replied in the original thread in https://github.com/onnx/sklearn-onnx/issues/1051. We haven't managed to work around this and stuck to OHE for now.