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 > >
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