dacapo.experiments.trainers.gunpowder_trainer_config
====================================================

.. py:module:: dacapo.experiments.trainers.gunpowder_trainer_config


Classes
-------

.. autoapisummary::

   dacapo.experiments.trainers.gunpowder_trainer_config.GunpowderTrainerConfig


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

.. py:class:: GunpowderTrainerConfig



   This class is used to configure a Gunpowder Trainer. It contains attributes related to trainer type,
   number of data fetchers, augmentations to apply, snapshot interval, minimum masked value, and a boolean
   value indicating whether to clip raw or not.

   .. attribute:: trainer_type

      This is the type of the trainer which is set to GunpowderTrainer by default.

      :type: class

   .. attribute:: num_data_fetchers

      This is the number of CPU workers who will be dedicated to fetch and process the data.

      :type: int

   .. attribute:: augments

      This is the list of augments to apply during the training.

      :type: List[AugmentConfig]

   .. attribute:: snapshot_interval

      This is the number of iterations after which a new snapshot should be saved.

      :type: Optional[int]

   .. attribute:: min_masked

      This is the minimum masked value.

      :type: Optional[float]

   .. attribute:: clip_raw

      This is a boolean value indicating if the raw data should be clipped to the size of the GT data or not.

      :type: bool


   .. py:attribute:: trainer_type


   .. py:attribute:: num_data_fetchers
      :type:  int


   .. py:attribute:: augments
      :type:  List[dacapo.experiments.trainers.gp_augments.AugmentConfig]


   .. py:attribute:: snapshot_interval
      :type:  Optional[int]


   .. py:attribute:: min_masked
      :type:  Optional[float]


   .. py:attribute:: clip_raw
      :type:  bool


   .. py:attribute:: gt_min_reject
      :type:  Optional[float]