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 > >
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