dacapo.experiments.datasplits.dummy_datasplit
Classes
A class for creating a simple train dataset and no validation dataset. It is derived from DataSplit class. |
Module Contents
- class dacapo.experiments.datasplits.dummy_datasplit.DummyDataSplit(datasplit_config)
A class for creating a simple train dataset and no validation dataset. It is derived from DataSplit class. It is used to split the data into training and validation datasets. The training and validation datasets are used to train and validate the model respectively.
- train
list The list containing training datasets. In this class, it contains only one dataset for training.
- validate
list The list containing validation datasets. In this class, it is an empty list as no validation dataset is set.
- __init__(self, datasplit_config)
The constructor for DummyDataSplit class. It initialises a list with training datasets according to the input configuration.
Notes
This class is used to split the data into training and validation datasets.
- train: List[dacapo.experiments.datasplits.datasets.Dataset]
- validate: List[dacapo.experiments.datasplits.datasets.Dataset]