Re: [scikit-learn] Getting weight coefficient of logistic regression from a pipeline

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" wrote: > Sorry if I misunderstood your question. > > On 29 August 2017 at 06:32, Raga Markely wrote: > >> Sound

Re: [scikit-learn] Getting weight coefficient of logistic regression from a pipeline

Sorry if I misunderstood your question. On 29 August 2017 at 06:32, Raga Markely wrote: > Sounds good.. tried it and works.. thank you! > > On Mon, Aug 28, 2017 at 3:20 PM, Andreas Mueller wrote: > >> you can also use grid.best_estimator_ (and then all the rest) >> >> On 08/28/2017 03:07 PM, Ra

Re: [scikit-learn] scikit-learn-commits mailing list defunct?

+1 for python.org if they accept this kind of mailing lists. ​ ___ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn

Re: [scikit-learn] scikit-learn-commits mailing list defunct?

+1 ​ ___ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn

Re: [scikit-learn] Getting weight coefficient of logistic regression from a pipeline

Sounds good.. tried it and works.. thank you! On Mon, Aug 28, 2017 at 3:20 PM, Andreas Mueller 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 a

Re: [scikit-learn] Getting weight coefficient of logistic regression from a pipeline

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 > wrote:

Re: [scikit-learn] Getting weight coefficient of logistic regression from a pipeline

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 wrote: > Have you called "fit" on the pipeline? > > > On 08/28/2017 02:12 PM, Raga Markely wrote: > > Thank you, Andreas. > > When I try > >>

Re: [scikit-learn] Getting weight coefficient of logistic regression from a pipeline

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:

Re: [scikit-learn] remoe from list

Hi Susan, You can visit https://mail.python.org/mailman/listinfo/scikit-learn and unsubscribe from the list there. Thanks, Alekh On Mon, Aug 28, 2017 at 11:47 PM, Liu, Susan wrote: > hi there, > > just wanted to ask if i could be removed from list? > > > Thanks, > Susan > > ___

[scikit-learn] remoe from list

hi there, just wanted to ask if i could be removed from list? Thanks, Susan ___ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn

Re: [scikit-learn] Getting weight coefficient of logistic regression from a pipeline

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_s

[scikit-learn] scikit-learn-commits mailing list defunct?

Hey all. Is it just me or is the scikit-learn-commits mailing list no longer working? Given that it's still on sourceforge, that seems somewhat likely. I find the mailing list helpful in case I can't keep track of the issue tracker (i.e. for the last 3 years?). It looks like it was set up here

Re: [scikit-learn] Getting weight coefficient of logistic regression from a pipeline

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 > wrote: No, we do not have a way

Re: [scikit-learn] imbalanced-learn 0.3.0 is chasing scikit-learn 0.19.0

Well done guys! Thanks a lot for this great release! I hope to be back soon. Best, Chris On Fri, Aug 25, 2017 at 3:14 AM, Guillaume Lemaître wrote: > We are excited to announce the new release of the scikit-learn-contrib > imbalanced-learn, already available through conda and pip (cf. the > ins