dacapo.experiments.datasplits.dummy_datasplit_config

Classes

DummyDataSplitConfig

A simple class representing config for Dummy DataSplit.

Module Contents

class dacapo.experiments.datasplits.dummy_datasplit_config.DummyDataSplitConfig

A simple class representing config for Dummy DataSplit.

This class is derived from ‘DataSplitConfig’ and is initialized with ‘DatasetConfig’ for training dataset.

datasplit_type: Class of dummy data split functionality.

train_config: Config for the training dataset. Defaults to DummyDatasetConfig.

verify(): A method for verification. This method always return ‘False’ plus a string indicating the condition.

Notes

This class is used to represent the configuration for Dummy DataSplit.

datasplit_type

train_config: dacapo.experiments.datasplits.datasets.DatasetConfig

verify() → Tuple[bool, str]

A method for verification. This method always return ‘False’ plus a string indicating the condition.

Returns:: A tuple contains a boolean ‘False’ and a string.
Return type:: Tuple[bool, str]

Examples

>>> dummy_datasplit_config = DummyDataSplitConfig(train_config)
>>> dummy_datasplit_config.verify()
(False, "This is a DummyDataSplit and is never valid")

Notes

This method is used to verify the configuration of DummyDataSplit.