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If a mlmodel is trained with use_pipeline = False then normalizing when calling predict_negative_instances seems to result in an error.
use_pipeline = False
predict_negative_instances
The text was updated successfully, but these errors were encountered:
@JohanvandenHeuvel whats the error/problem then?
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I misread the error. Training with use_pipeline doesn't make sense as we can't train with categorical features in the first place.
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If a mlmodel is trained with
use_pipeline = False
then normalizing when callingpredict_negative_instances
seems to result in an error.The text was updated successfully, but these errors were encountered: