:py:mod:`sklearn_pmml_model.neural_network._base`
=================================================

.. py:module:: sklearn_pmml_model.neural_network._base


Module Contents
---------------

Classes
~~~~~~~

.. autoapisummary::

   sklearn_pmml_model.neural_network._base.PMMLBaseNeuralNetwork




.. py:class:: PMMLBaseNeuralNetwork


   
   Abstract class for Neural Network models.

   The PMML model consists out of a <NeuralNetwork> element, containing a
   <NeuralInputs> element that describes the input layer neurons with
   <NeuralInput> elements. Next, a <NeuralLayer> element describes all other
   neurons with associated weights and biases. The activation function is either
   specified globally with the activationFunction attribute on the
   <NeuralNetwork> element, or the same attribute on each layer. Note however
   that scikit-learn only supports a single activation function for all hidden
   layers. Finally, the <NeuralOutputs> element describes the output layer.
   The output is currently expected to match the target field in <MiningSchema>.










   .. rubric:: Notes

   Specification: http://dmg.org/pmml/v4-3/NeuralNetwork.html





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