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Hi,
FYI: one can use Pipeline from scikit-learn to do the same as ScikitClassifier. So instead of
from lime.lime_text import ScikitClassifier c = ScikitClassifier(rf, vectorizer)
one can write
from sklearn.pipeline import make_pipeline c = make_pipeline(vectorizer, rf)
The text was updated successfully, but these errors were encountered:
Thanks a lot, I didn't know about this. I removed ScikitClassifier from the code and examples. =]
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Merge pull request #8 from datascienceinc/feature-names-is-none-error
2d23f87
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Hi,
FYI: one can use Pipeline from scikit-learn to do the same as ScikitClassifier. So instead of
one can write
The text was updated successfully, but these errors were encountered: