You probably can use LabelEncoder with OneHotEncoder from sklearn.preprocessing to convert your string data into numerical. Best, Mya
On Thu, Aug 1, 2019 at 2:02 PM <scikit-learn-requ...@python.org> wrote: > Send scikit-learn mailing list submissions to > scikit-learn@python.org > > To subscribe or unsubscribe via the World Wide Web, visit > https://mail.python.org/mailman/listinfo/scikit-learn > or, via email, send a message with subject or body 'help' to > scikit-learn-requ...@python.org > > You can reach the person managing the list at > scikit-learn-ow...@python.org > > When replying, please edit your Subject line so it is more specific > than "Re: Contents of scikit-learn digest..." > > > Today's Topics: > > 1. SVM-RFE with scoring = 'f1' (Malik Yousef) > 2. Re: SVM-RFE with scoring = 'f1' (Guillaume Lema?tre) > 3. Re: SVM-RFE with scoring = 'f1' (Malik Yousef) > > > ---------------------------------------------------------------------- > > Message: 1 > Date: Thu, 1 Aug 2019 16:10:26 -0400 > From: Malik Yousef <malik.you...@gmail.com> > To: scikit-learn@python.org > Subject: [scikit-learn] SVM-RFE with scoring = 'f1' > Message-ID: > <CACXKj+QQ9kZ-Q6PhwU+bQpxyBN-NOzmzjsBYCgW= > lvs+c7x...@mail.gmail.com> > Content-Type: text/plain; charset="utf-8" > > Hello > When in using the scoring to be 'f1' then i get an error. > Here is the code and the error > > X=data > y=target_column > classifier = LinearSVC() > rfecv = RFECV(estimator=classifier, step=0.1, > cv=StratifiedKFold(5),scoring='f1') > rfecv.fit(X, y) > > The error is : > ValueError: pos_label=1 is not a valid label: array([u'c.pre', u'n.pre'], > dtype='<U5') > > Please your help > (I'm new to using scikit-leanr) > > --------------------------------------------------------------------------------------- > *Prof. Malik Yousef , Associate Professor * > *Zefat Academic College , Department of Information System * > Home Page: > https://malikyousef.com/ > Google Scholar Profile : > https://scholar.google.com/citations?user=9UCZ_q4AAAAJ&hl=en&oi=ao > > ---------------------------------------------------------------------------------------------------- > -------------- next part -------------- > An HTML attachment was scrubbed... > URL: < > http://mail.python.org/pipermail/scikit-learn/attachments/20190801/20fbb5fc/attachment-0001.html > > > > ------------------------------ > > Message: 2 > Date: Thu, 1 Aug 2019 22:56:24 +0200 > From: Guillaume Lema?tre <g.lemaitr...@gmail.com> > To: Scikit-learn mailing list <scikit-learn@python.org> > Subject: Re: [scikit-learn] SVM-RFE with scoring = 'f1' > Message-ID: > < > cacdxx9in3qvuajtxbajpem4gzfvilvqteolu203grz0_ua2...@mail.gmail.com> > Content-Type: text/plain; charset="utf-8" > > It looks like your data contains string. You need to make some > preprocessing before to give it the linear model. > > On Thu, 1 Aug 2019 at 22:16, Malik Yousef <malik.you...@gmail.com> wrote: > > > Hello > > When in using the scoring to be 'f1' then i get an error. > > Here is the code and the error > > > > X=data > > y=target_column > > classifier = LinearSVC() > > rfecv = RFECV(estimator=classifier, step=0.1, > > cv=StratifiedKFold(5),scoring='f1') > > rfecv.fit(X, y) > > > > The error is : > > ValueError: pos_label=1 is not a valid label: array([u'c.pre', u'n.pre'], > > dtype='<U5') > > > > Please your help > > (I'm new to using scikit-leanr) > > > > > --------------------------------------------------------------------------------------- > > *Prof. Malik Yousef , Associate Professor * > > *Zefat Academic College , Department of Information System * > > Home Page: > > https://malikyousef.com/ > > Google Scholar Profile : > > https://scholar.google.com/citations?user=9UCZ_q4AAAAJ&hl=en&oi=ao > > > > > ---------------------------------------------------------------------------------------------------- > > _______________________________________________ > > scikit-learn mailing list > > scikit-learn@python.org > > https://mail.python.org/mailman/listinfo/scikit-learn > > > > > -- > Guillaume Lemaitre > INRIA Saclay - Parietal team > Center for Data Science Paris-Saclay > https://glemaitre.github.io/ > -------------- next part -------------- > An HTML attachment was scrubbed... > URL: < > http://mail.python.org/pipermail/scikit-learn/attachments/20190801/5ed63ff1/attachment-0001.html > > > > ------------------------------ > > Message: 3 > Date: Thu, 1 Aug 2019 17:02:24 -0400 > From: Malik Yousef <malik.you...@gmail.com> > To: Scikit-learn mailing list <scikit-learn@python.org> > Subject: Re: [scikit-learn] SVM-RFE with scoring = 'f1' > Message-ID: > <CACXKj+S= > vyfbr0v0qugr9g9nuzorxgv1bfioihah6dt4svy...@mail.gmail.com> > Content-Type: text/plain; charset="utf-8" > > The only string column is the label column(class labels, n.pre, and c.pre). > if the scoring = 'accuracy' then it works fine. > So I think I need somehow to set up the postive_lable.. that I don't know > how to do that. > > > --------------------------------------------------------------------------------------- > *Prof. Malik Yousef , Associate Professor * > *Zefat Academic College , Department of Information System * > Home Page: > https://malikyousef.com/ > Google Scholar Profile : > https://scholar.google.com/citations?user=9UCZ_q4AAAAJ&hl=en&oi=ao > > ---------------------------------------------------------------------------------------------------- > > > On Thu, Aug 1, 2019 at 4:58 PM Guillaume Lema?tre <g.lemaitr...@gmail.com> > wrote: > > > It looks like your data contains string. You need to make some > > preprocessing before to give it the linear model. > > > > On Thu, 1 Aug 2019 at 22:16, Malik Yousef <malik.you...@gmail.com> > wrote: > > > >> Hello > >> When in using the scoring to be 'f1' then i get an error. > >> Here is the code and the error > >> > >> X=data > >> y=target_column > >> classifier = LinearSVC() > >> rfecv = RFECV(estimator=classifier, step=0.1, > >> cv=StratifiedKFold(5),scoring='f1') > >> rfecv.fit(X, y) > >> > >> The error is : > >> ValueError: pos_label=1 is not a valid label: array([u'c.pre', > u'n.pre'], > >> dtype='<U5') > >> > >> Please your help > >> (I'm new to using scikit-leanr) > >> > >> > --------------------------------------------------------------------------------------- > >> *Prof. Malik Yousef , Associate Professor * > >> *Zefat Academic College , Department of Information System * > >> Home Page: > >> https://malikyousef.com/ > >> Google Scholar Profile : > >> https://scholar.google.com/citations?user=9UCZ_q4AAAAJ&hl=en&oi=ao > >> > >> > ---------------------------------------------------------------------------------------------------- > >> _______________________________________________ > >> scikit-learn mailing list > >> scikit-learn@python.org > >> https://mail.python.org/mailman/listinfo/scikit-learn > >> > > > > > > -- > > Guillaume Lemaitre > > INRIA Saclay - Parietal team > > Center for Data Science Paris-Saclay > > https://glemaitre.github.io/ > > _______________________________________________ > > scikit-learn mailing list > > scikit-learn@python.org > > https://mail.python.org/mailman/listinfo/scikit-learn > > > -------------- next part -------------- > An HTML attachment was scrubbed... > URL: < > http://mail.python.org/pipermail/scikit-learn/attachments/20190801/650411b8/attachment.html > > > > ------------------------------ > > Subject: Digest Footer > > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn > > > ------------------------------ > > End of scikit-learn Digest, Vol 41, Issue 2 > ******************************************* > -- Maiia Bakhova Mathematician in Data Science <http://myabakhova.blogspot.com/> https://www.linkedin.com/in/myabakhova
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