Thank you for your answer !
I will start working on all the requirements for the scikit learn API.
2016-06-07 10:11 GMT+02:00 Olivier Grisel :
> I think it could be implemented as a preprocessing step: this is the
> approach followed by:
>
> https://github.com/ryankiros/skip-thoughts/blob/master/
I think it could be implemented as a preprocessing step: this is the
approach followed by:
https://github.com/ryankiros/skip-thoughts/blob/master/eval_classification.py
Note that in that case LogisticRegression is used as the final
classifier instead of a squared hinge loss SVM but that should not
Hello,
For a university project I worked on a Sentiment Analysis challenge (Movie
Reviews) and implemented a version of NBSVM
as described in this paper:
http://nlp.stanford.edu/pubs/sidaw12_simple_sentiment.pdf
If I am not wrong there is no NBSVM class in scikit-learn. That is why I
would like to
