:py:mod:`pycasx.tools.NNet.nnet`
================================

.. py:module:: pycasx.tools.NNet.nnet

.. autoapi-nested-parse::

   NNet runtime.



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

Classes
~~~~~~~

.. autoapisummary::

   pycasx.tools.NNet.nnet.NNet




.. py:class:: NNet(filename)


   Class that represents a fully connected ReLU network from a .nnet file.

   :param filename: A .nnet file to load
   :type filename: str

   .. attribute:: numLayers

      Number of weight matrices or bias vectors in neural network

      :type: int

   .. attribute:: layerSizes

      Size of input layer, hidden layers, and output layer

      :type: list of ints

   .. attribute:: inputSize

      Size of input

      :type: int

   .. attribute:: outputSize

      Size of output

      :type: int

   .. attribute:: mins

      Minimum values of inputs

      :type: list of floats

   .. attribute:: maxes

      Maximum values of inputs

      :type: list of floats

   .. attribute:: means

      Means of inputs and mean of outputs

      :type: list of floats

   .. attribute:: ranges

      Ranges of inputs and range of outputs

      :type: list of floats

   .. attribute:: weights

      Weight matrices in network

      :type: list of numpy arrays

   .. attribute:: biases

      Bias vectors in network

      :type: list of numpy arrays

   .. py:method:: evaluate_network(inputs)

      Evaluate network using given inputs.

      :param inputs: Network inputs to be evaluated
      :type inputs: numpy array of floats

      :returns: Network output
      :rtype: (numpy array of floats)


   .. py:method:: evaluate_network_multiple(inputs)

      Evaluate network using multiple sets of inputs.

      :param inputs: Array of network inputs to be evaluated.
      :type inputs: numpy array of floats

      :returns: Network outputs for each set of inputs
      :rtype: (numpy array of floats)


   .. py:method:: num_inputs()

      Get network input size.


   .. py:method:: num_outputs()

      Get network output size.