dacapo.experiments.datasplits.datasets.arrays.binarize_array_config
===================================================================

.. py:module:: dacapo.experiments.datasplits.datasets.arrays.binarize_array_config


Classes
-------

.. autoapisummary::

   dacapo.experiments.datasplits.datasets.arrays.binarize_array_config.BinarizeArrayConfig


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

.. py:class:: BinarizeArrayConfig



   This config class provides the necessary configuration for turning an Annotated dataset into a
   multi class binary classification problem. Each class will be binarized into a separate channel.

   .. attribute:: source_array_config

      The Array from which to pull annotated data. Is expected to contain a volume with uint64 voxels and no channel dimension

      :type: ArrayConfig

   .. attribute:: groupings

      List of id groups with a symantic name. Each id group is a List of ids.
      Group i found in groupings[i] will be binarized and placed in channel i.
      An empty group will binarize all non background labels.

      :type: List[Tuple[str, List[int]]]

   .. attribute:: background

      The id considered background. Will never be binarized to 1, defaults to 0.

      :type: int

   .. note::

      This class is used to create a BinarizeArray object which is used to turn an Annotated dataset into a multi class binary classification problem.
      Each class will be binarized into a separate channel.


   .. py:attribute:: array_type


   .. py:attribute:: source_array_config
      :type:  dacapo.experiments.datasplits.datasets.arrays.array_config.ArrayConfig


   .. py:attribute:: groupings
      :type:  List[Tuple[str, List[int]]]


   .. py:attribute:: background
      :type:  int