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Does not seem to work for NLP pipeline from sklearn · Issue #164 · microsoft/hummingbird · GitHub
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Description
Hi,
I tried to convert a model pipeline containing 3 steps:
[('vect', CountVectorizer()), ('tfidf', TfidfTransformer()), ('clf-svm', SGDClassifier())]
I get the following error:
MissingConverter: Unable to find converter for model type <class 'sklearn.feature_extraction.text.CountVectorizer'>.
It usually means the pipeline being converted contains a
transformer or a predictor with no corresponding converter implemented.
Please fill an issue at https://github.com/microsoft/hummingbird.
I'm guessing the system does not yet handle the first 2 parts...
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