core_new
========

.. py:module:: core_new


Classes
-------

.. autoapisummary::

   core_new.Unet


Functions
---------

.. autoapisummary::

   core_new.build_Unet


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

.. py:function:: build_Unet(num_feature=12)

   Build the Unet model.

   Construct a Unet model with LSTM layers for sequence processing.

   :param num_feature: The number of input features. Default is 12.
   :type num_feature: `int`, optional

   :returns: **model** -- The constructed Unet model.
   :rtype: `keras.Model`


.. py:class:: Unet(num_feature=12)

   .. py:attribute:: model


   .. py:method:: compile(optimizer, loss, **kwargs)


   .. py:method:: info()


   .. py:method:: train(*args, **kwargs)


   .. py:method:: predict(x)


   .. py:method:: summary()


   .. py:method:: load_weights(filename)


   .. py:method:: save_model(modelname)