you can use the LabelEncoder then. It will encode the classes for you. On Thu, 1 Aug 2019 at 23:04, Malik Yousef <malik.you...@gmail.com> wrote:
> 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 Lemaître <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 >> > _______________________________________________ > 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/
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