dacapo.experiments.tasks.predictors.dummy_predictor
===================================================

.. py:module:: dacapo.experiments.tasks.predictors.dummy_predictor


Classes
-------

.. autoapisummary::

   dacapo.experiments.tasks.predictors.dummy_predictor.DummyPredictor


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

.. py:class:: DummyPredictor(embedding_dims)



   A dummy predictor class that inherits from the base Predictor class.

   .. attribute:: embedding_dims

      The number of embedding dimensions.

      :type: int

   .. method:: __init__(self, embedding_dims

      int): Initializes a new instance of the DummyPredictor class.

   .. method:: create_model(self, architecture)

      Creates a model using the given architecture.

   .. method:: create_target(self, gt)

      Creates a target based on the ground truth.

   .. method:: create_weight(self, gt, target, mask, moving_class_counts=None)

      Creates a weight based on the ground truth, target, and mask.

   .. method:: output_array_type

      Gets the output array type.

   .. rubric:: Notes

   This is a subclass of Predictor.


   .. py:attribute:: embedding_dims


   .. py:method:: create_model(architecture)

      Creates a model using the given architecture.

      :param architecture: The architecture to use for creating the model.

      :returns: The created model.
      :rtype: Model

      :raises NotImplementedError: This method is not implemented.

      .. rubric:: Examples

      >>> model = predictor.create_model(architecture)



   .. py:method:: create_target(gt)

      Creates a target based on the ground truth.

      :param gt: The ground truth.

      :returns: The created target.
      :rtype: NumpyArray

      :raises NotImplementedError: This method is not implemented.

      .. rubric:: Examples

      >>> predictor.create_target(gt)



   .. py:method:: create_weight(gt, target, mask, moving_class_counts=None)

      Creates a weight based on the ground truth, target, and mask.

      :param gt: The ground truth.
      :param target: The target.
      :param mask: The mask.
      :param moving_class_counts: The moving class counts.

      :returns: The created weight and None.
      :rtype: Tuple[NumpyArray, None]

      :raises NotImplementedError: This method is not implemented.

      .. rubric:: Examples

      >>> predictor.create_weight(gt, target, mask, moving_class_counts)



   .. py:property:: output_array_type
      Gets the output array type.

      :returns: The output array type.
      :rtype: EmbeddingArray

      :raises NotImplementedError: This method is not implemented.

      .. rubric:: Examples

      >>> predictor.output_array_type