dacapo.experiments.starts.cosem_start_config
============================================

.. py:module:: dacapo.experiments.starts.cosem_start_config


Classes
-------

.. autoapisummary::

   dacapo.experiments.starts.cosem_start_config.CosemStartConfig


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

.. py:class:: CosemStartConfig



   Starter for COSEM pretained models. This is a subclass of `StartConfig` and
   should be used to initialize the model with pretrained weights from a previous
   run.

   The weights are loaded from the dacapo store for the specified run. The
   configuration is used to initialize the weights for the model associated with
   a specific criterion.

   .. attribute:: run

      str
      The run to be used as a starting point for tasks.

   .. attribute:: criterion

      str
      The criterion to be used for choosing weights from run.

   .. method:: __init__(start_config)

      
      Initializes the CosemStartConfig class with specified config to run the
      initialization of weights for a model associated with a specific
      criterion.

   .. rubric:: Examples

   >>> start_config = CosemStartConfig(run="run_1", criterion="best")

   .. rubric:: Notes

   This class is used to represent the configuration for running tasks.


   .. py:attribute:: start_type