dacapo.experiments.datasplits.dummy_datasplit
=============================================

.. py:module:: dacapo.experiments.datasplits.dummy_datasplit


Classes
-------

.. autoapisummary::

   dacapo.experiments.datasplits.dummy_datasplit.DummyDataSplit


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

.. py:class:: DummyDataSplit(datasplit_config)



   A class for creating a simple train dataset and no validation dataset. It is derived from `DataSplit` class.
   It is used to split the data into training and validation datasets. The training and validation datasets are
   used to train and validate the model respectively.

   .. attribute:: train

      list
      The list containing training datasets. In this class, it contains only one dataset for training.

   .. attribute:: validate

      list
      The list containing validation datasets. In this class, it is an empty list as no validation dataset is set.

   .. method:: __init__(self, datasplit_config)

      
      The constructor for DummyDataSplit class. It initialises a list with training datasets according to the input configuration.

   .. rubric:: Notes

   This class is used to split the data into training and validation datasets.


   .. py:attribute:: train
      :type:  List[dacapo.experiments.datasplits.datasets.Dataset]


   .. py:attribute:: validate
      :type:  List[dacapo.experiments.datasplits.datasets.Dataset]