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In predict_label normalizing can cause problems if model.use_pipeline is false #116

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JohanvandenHeuvel opened this issue Dec 10, 2021 · 2 comments

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@JohanvandenHeuvel
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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.

@indyfree
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@JohanvandenHeuvel whats the error/problem then?

@JohanvandenHeuvel
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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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