dacapo.experiments.datasplits.train_validate_datasplit_config
=============================================================

.. py:module:: dacapo.experiments.datasplits.train_validate_datasplit_config


Classes
-------

.. autoapisummary::

   dacapo.experiments.datasplits.train_validate_datasplit_config.TrainValidateDataSplitConfig


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

.. py:class:: TrainValidateDataSplitConfig



   This is the standard Train/Validate DataSplit config. It contains a list of
   training and validation datasets. This class 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_configs

      list
      The list of training datasets.

   .. attribute:: validate_configs

      list
      The list of validation datasets.

   .. method:: __init__(datasplit_config)

      
      Initializes the TrainValidateDataSplitConfig class with specified config to
      split the data into training and validation datasets.

   .. rubric:: Notes

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


   .. py:attribute:: datasplit_type


   .. py:attribute:: train_configs
      :type:  List[dacapo.experiments.datasplits.datasets.DatasetConfig]


   .. py:attribute:: validate_configs
      :type:  List[dacapo.experiments.datasplits.datasets.DatasetConfig]