TessemNN
########

.. currentmodule:: pyarts3.arts

.. autoclass:: TessemNN

  .. rubric:: Overview

  .. list-table::

    * - Method
      - :func:`~pyarts3.arts.TessemNN.readxml`
      - Read variable from file.
    * - Method
      - :func:`~pyarts3.arts.TessemNN.savexml`
      - Saves variable to file.
    * - Static Method
      - :func:`~pyarts3.arts.TessemNN.from_ascii`
      - Read an original TESSEM2 neural-network parameter file
    * - Static Method
      - :func:`~pyarts3.arts.TessemNN.fromxml`
      - Create variable from file.
    * - :class:`Vector`
      - :attr:`~pyarts3.arts.TessemNN.b1`
      - Hidden-layer biases
    * - :class:`Vector`
      - :attr:`~pyarts3.arts.TessemNN.b2`
      - Output-layer biases
    * - :class:`Index`
      - :attr:`~pyarts3.arts.TessemNN.nb_cache`
      - Number of hidden neural-network nodes
    * - :class:`Index`
      - :attr:`~pyarts3.arts.TessemNN.nb_inputs`
      - Number of neural-network inputs
    * - :class:`Index`
      - :attr:`~pyarts3.arts.TessemNN.nb_outputs`
      - Number of neural-network outputs
    * - :class:`Matrix`
      - :attr:`~pyarts3.arts.TessemNN.w1`
      - Hidden-layer weights
    * - :class:`Matrix`
      - :attr:`~pyarts3.arts.TessemNN.w2`
      - Output-layer weights
    * - :class:`Vector`
      - :attr:`~pyarts3.arts.TessemNN.x_max`
      - Maximum values used to scale the inputs
    * - :class:`Vector`
      - :attr:`~pyarts3.arts.TessemNN.x_min`
      - Minimum values used to scale the inputs
    * - :class:`Vector`
      - :attr:`~pyarts3.arts.TessemNN.y_max`
      - Maximum values used to scale the outputs
    * - :class:`Vector`
      - :attr:`~pyarts3.arts.TessemNN.y_min`
      - Minimum values used to scale the outputs
    * - Operator
      - :func:`~pyarts3.arts.TessemNN.__call__`
      - Evaluate the neural network
    * - Operator
      - :func:`~pyarts3.arts.TessemNN.__eq__`
      - Return self==value.
    * - Operator
      - :func:`~pyarts3.arts.TessemNN.__format__`
      - __format__(self, arg: str, /) -> str
    * - Operator
      - :func:`~pyarts3.arts.TessemNN.__ge__`
      - Return self>=value.
    * - Operator
      - :func:`~pyarts3.arts.TessemNN.__gt__`
      - Return self>value.
    * - Operator
      - :func:`~pyarts3.arts.TessemNN.__hash__`
      - Return hash(self).
    * - Operator
      - :func:`~pyarts3.arts.TessemNN.__init__`
      - __init__(self, arg: pyarts3.arts.TessemNN) -> None
    * - Operator
      - :func:`~pyarts3.arts.TessemNN.__le__`
      - Return self<=value.
    * - Operator
      - :func:`~pyarts3.arts.TessemNN.__lt__`
      - Return self<value.
    * - Operator
      - :func:`~pyarts3.arts.TessemNN.__ne__`
      - Return self!=value.
    * - Operator
      - :func:`~pyarts3.arts.TessemNN.__repr__`
      - __repr__(self) -> str
    * - Operator
      - :func:`~pyarts3.arts.TessemNN.__str__`
      - __str__(self) -> str

  .. rubric:: Constructors

  .. automethod:: __init__
     :noindex:

  .. rubric:: Methods

  .. automethod:: TessemNN.readxml
  .. automethod:: TessemNN.savexml

  .. rubric:: Static Methods

  .. automethod:: TessemNN.from_ascii
  .. automethod:: TessemNN.fromxml

  .. rubric:: Attributes

  .. attribute:: TessemNN.b1
     :type: Vector

     Hidden-layer biases

     .. :class:`Vector`


  .. attribute:: TessemNN.b2
     :type: Vector

     Output-layer biases

     .. :class:`Vector`


  .. attribute:: TessemNN.nb_cache
     :type: Index

     Number of hidden neural-network nodes

     .. :class:`Index`


  .. attribute:: TessemNN.nb_inputs
     :type: Index

     Number of neural-network inputs

     .. :class:`Index`


  .. attribute:: TessemNN.nb_outputs
     :type: Index

     Number of neural-network outputs

     .. :class:`Index`


  .. attribute:: TessemNN.w1
     :type: Matrix

     Hidden-layer weights

     .. :class:`Matrix`


  .. attribute:: TessemNN.w2
     :type: Matrix

     Output-layer weights

     .. :class:`Matrix`


  .. attribute:: TessemNN.x_max
     :type: Vector

     Maximum values used to scale the inputs

     .. :class:`Vector`


  .. attribute:: TessemNN.x_min
     :type: Vector

     Minimum values used to scale the inputs

     .. :class:`Vector`


  .. attribute:: TessemNN.y_max
     :type: Vector

     Maximum values used to scale the outputs

     .. :class:`Vector`


  .. attribute:: TessemNN.y_min
     :type: Vector

     Minimum values used to scale the outputs

     .. :class:`Vector`



  .. rubric:: Operators

  .. automethod:: TessemNN.__call__
  .. automethod:: TessemNN.__eq__
  .. automethod:: TessemNN.__format__
  .. automethod:: TessemNN.__ge__
  .. automethod:: TessemNN.__gt__
  .. automethod:: TessemNN.__hash__
  .. automethod:: TessemNN.__init__
  .. automethod:: TessemNN.__le__
  .. automethod:: TessemNN.__lt__
  .. automethod:: TessemNN.__ne__
  .. automethod:: TessemNN.__repr__
  .. automethod:: TessemNN.__str__