dacapo.experiments.trainers.gunpowder_trainer_config
Module Contents
Classes
This class is used to configure a Gunpowder Trainer. It contains attributes related to trainer type, |
- class dacapo.experiments.trainers.gunpowder_trainer_config.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.
- trainer_type
This is the type of the trainer which is set to GunpowderTrainer by default.
- Type:
class
- num_data_fetchers
This is the number of CPU workers who will be dedicated to fetch and process the data.
- Type:
int
- augments
This is the list of augments to apply during the training.
- Type:
List[AugmentConfig]
- snapshot_interval
This is the number of iterations after which a new snapshot should be saved.
- Type:
Optional[int]
- min_masked
This is the minimum masked value.
- Type:
Optional[float]
- 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
- trainer_type
- num_data_fetchers: int
- augments: List[dacapo.experiments.trainers.gp_augments.AugmentConfig]
- clip_raw: bool