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 <manojkumarsivaraj...@gmail.com> wrote: > 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 > > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn > > -- ====================================================================== 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/
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