No problem, thank you! Best, Raga
On Mon, Aug 28, 2017 at 12:01 AM, Joel Nothman <joel.noth...@gmail.com> wrote: > No, we do not have a way to get the coefficients with respect to the input > (pre-scaling) space. > > On 28 August 2017 at 13:20, Raga Markely <raga.mark...@gmail.com> wrote: > >> Hello, >> >> I am wondering if it's possible to get the weight coefficients of >> logistic regression from a pipeline? >> >> For instance, I have the followings: >> >>> clf_lr = LogisticRegression(penalty='l1', C=0.1) >>> pipe_lr = Pipeline([['sc', StandardScaler()], ['clf', clf_lr]]) >>> pipe_lr.fit(X, y) >> >> >> Does pipe_lr have an attribute that I can call to get the weight >> coefficient? >> >> Or do I have to get it from the classifier as follows? >> >>> X_std = StandardScaler().fit_transform(X) >>> clf_lr = LogisticRegression(penalty='l1', C=0.1) >>> clf_lr.fit(X_std, y) >>> clf_lr.coef_ >> >> >> Thank you, >> Raga >> >> >> _______________________________________________ >> 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 > >
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