Hi, The weights and intercepts are available in the coefs_ and intercepts_ attribute respectively.
See https://github.com/scikit-learn/scikit-learn/blob/a24c8b46/sklearn/neural_network/multilayer_perceptron.py#L835 On Wed, Dec 6, 2017 at 4:56 PM, Brown J.B. via scikit-learn < scikit-learn@python.org> wrote: > I am also very interested in knowing if there is a sklearn cookbook > solution for getting the weights of a one-hidde-layer MLPClassifier. > J.B. > > 2017-12-07 8:49 GMT+09:00 Thomas Evangelidis <teva...@gmail.com>: > >> Greetings, >> >> I want to train a MLPClassifier with one hidden layer and use it as a >> feature selector for an MLPRegressor. >> Is it possible to get the values of the neurons from the last hidden >> layer of the MLPClassifier to pass them as input to the MLPRegressor? >> >> If it is not possible with scikit-learn, is anyone aware of any >> scikit-compatible NN library that offers this functionality? For example >> this one: >> >> http://scikit-neuralnetwork.readthedocs.io/en/latest/index.html >> >> I wouldn't like to do this in Tensorflow because the MLP there is much >> slower than scikit-learn's implementation. >> >> >> Thomas >> >> >> -- >> >> ====================================================================== >> >> Dr Thomas Evangelidis >> >> Post-doctoral Researcher >> CEITEC - Central European Institute of Technology >> Masaryk University >> Kamenice 5/A35/2S049, >> 62500 Brno, Czech Republic >> >> email: tev...@pharm.uoa.gr >> >> teva...@gmail.com >> >> >> website: https://sites.google.com/site/thomasevangelidishomepage/ >> >> >> _______________________________________________ >> 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 > > -- Manoj, http://github.com/MechCoder
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