dacapo.experiments.datasplits.datasets.arrays.intensity_array_config
====================================================================

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


Classes
-------

.. autoapisummary::

   dacapo.experiments.datasplits.datasets.arrays.intensity_array_config.IntensitiesArrayConfig


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

.. py:class:: IntensitiesArrayConfig



   This config class provides the necessary configuration for turning an Annotated dataset into a
   multi class binary classification problem. It takes a source array and normalizes the intensities
   between 0 and 1. The source array is expected to contain a volume with uint64 voxels and no channel dimension.

   .. attribute:: source_array_config

      The Array from which to pull annotated data

      :type: ArrayConfig

   .. attribute:: min

      The minimum intensity in your data

      :type: float

   .. attribute:: max

      The maximum intensity in your data

      :type: float

   .. method:: to_array

      Returns the IntensitiesArray object

   .. rubric:: Notes

   The source_array_config must be an ArrayConfig object.


   .. py:attribute:: array_type


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


   .. py:attribute:: min
      :type:  float


   .. py:attribute:: max
      :type:  float