Re: [scikit-learn] scikit-learn Digest, Vol 21, Issue 29

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

Re: [scikit-learn] MLPClassifier as a feature selector

I think that a transform method would be good. We would have to add a parameter to the constructor to specify which layer is used for the transform. It should default to "-1", in my opinion. Cheers, Gaël ⁣Sent from my phone. Please forgive typos and briefness.​ On Dec 29, 2017, 17:48, at

Re: [scikit-learn] MLPClassifier as a feature selector

Hi Thomas, it is possible to obtain the activation values of any hidden layer, but the procedure is not completely straight forward. If you look at the code of the `_predict` method of MLPs you can see the following: ```python def _predict(self, X): """Predict using the trained model

Re: [scikit-learn] MLPClassifier as a feature selector

Alright, with these attributes I can get the weights and biases, but what about the values on the nodes of the last hidden layer? Do I have to work them out myself or there is a straightforward way to get them? On 7 December 2017 at 04:25, Manoj Kumar wrote: >