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When attempting to convert an XGBoost model I end up with this error MissingConverter: Unable to find converter for model type <class 'xgboost.core.Booster'>
Using the native xgboost api has some benefits, but it would be nice to be able to convert it to a tensor model.
Is there a way to wrap it with an object that implements the sklearn api for the conversion process to work?
The text was updated successfully, but these errors were encountered:
Hi! It shouldn't be too hard support for Booster. Internally we get the model parameters from Booster so it is just a matter of fixing the conversion code I think.
Is there planned support for XGBoost's Boosters?
When attempting to convert an XGBoost model I end up with this error
MissingConverter: Unable to find converter for model type <class 'xgboost.core.Booster'>
Using the native xgboost api has some benefits, but it would be nice to be able to convert it to a tensor model.
Is there a way to wrap it with an object that implements the sklearn api for the conversion process to work?
The text was updated successfully, but these errors were encountered: