No worries.. ur answer is helpful for me too.. I was actually exploring different ways to get the coeff, what i can and can't get :)..
Thanks! On Aug 28, 2017 8:24 PM, "Joel Nothman" <joel.noth...@gmail.com> wrote: > Sorry if I misunderstood your question. > > On 29 August 2017 at 06:32, Raga Markely <raga.mark...@gmail.com> wrote: > >> Sounds good.. tried it and works.. thank you! >> >> On Mon, Aug 28, 2017 at 3:20 PM, Andreas Mueller <t3k...@gmail.com> >> wrote: >> >>> you can also use grid.best_estimator_ (and then all the rest) >>> >>> On 08/28/2017 03:07 PM, Raga Markely wrote: >>> >>> Ah.. got it :D.. >>> >>> The pipeline was run in gridsearchcv.. >>> >>> It works now after calling fit.. >>> >>> Thanks! >>> Raga >>> >>> On Mon, Aug 28, 2017 at 2:55 PM, Andreas Mueller <t3k...@gmail.com> >>> wrote: >>> >>>> Have you called "fit" on the pipeline? >>>> >>>> >>>> On 08/28/2017 02:12 PM, Raga Markely wrote: >>>> >>>> Thank you, Andreas. >>>> >>>> When I try >>>> >>>>> pipe_lr.named_steps['clf'].coef_ >>>> >>>> >>>> I get: >>>> >>>>> AttributeError: 'LogisticRegression' object has no attribute 'coef_' >>>> >>>> >>>> And when I try: >>>> >>>>> pipe_lr.named_steps['clf'] >>>> >>>> >>>> I get: >>>> >>>>> LogisticRegression(C=0.1, class_weight=None, dual=False, >>>>> fit_intercept=True, intercept_scaling=1, max_iter=100, multi_class='ovr', >>>>> n_jobs=1, penalty='l2', random_state=None, solver='liblinear', tol=0.0001, >>>>> verbose=0, warm_start=False) >>>> >>>> >>>> I wonder what I am missing? >>>> >>>> Thanks, >>>> Raga >>>> >>>> >>>> On Mon, Aug 28, 2017 at 12:01 PM, Andreas Mueller <t3k...@gmail.com> >>>> wrote: >>>> >>>>> Can can get the coefficients on the scaled data with >>>>> pipeline_lr.named_steps_['clf'].coef_ >>>>> though >>>>> >>>>> >>>>> On 08/28/2017 12:08 AM, Raga Markely wrote: >>>>> >>>>> 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 >>>>>> >>>>>> >>>>> >>>>> >>>>> _______________________________________________ >>>>> scikit-learn mailing >>>>> listscikit-learn@python.orghttps://mail.python.org/mailman/listinfo/scikit-learn >>>>> >>>>> >>>>> >>>>> _______________________________________________ >>>>> scikit-learn mailing list >>>>> scikit-learn@python.org >>>>> https://mail.python.org/mailman/listinfo/scikit-learn >>>>> >>>>> >>>> >>>> >>>> _______________________________________________ >>>> scikit-learn mailing >>>> listscikit-learn@python.orghttps://mail.python.org/mailman/listinfo/scikit-learn >>>> >>>> >>>> >>>> _______________________________________________ >>>> scikit-learn mailing list >>>> scikit-learn@python.org >>>> https://mail.python.org/mailman/listinfo/scikit-learn >>>> >>>> >>> >>> >>> _______________________________________________ >>> scikit-learn mailing >>> listscikit-learn@python.orghttps://mail.python.org/mailman/listinfo/scikit-learn >>> >>> >>> >>> _______________________________________________ >>> 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 >> >> > > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn > >
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