Can you give me an example? --------------------------------------------------------------------------------------- *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 5:15 PM Guillaume Lemaître <g.lemaitr...@gmail.com> wrote: > 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/ > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn >
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