UCIRegressionDataModule¶
- class torch_uncertainty.datamodules.UCIRegressionDataModule(root, batch_size, dataset_name, val_split=0.0, num_workers=1, pin_memory=True, persistent_workers=True, input_shape=None, split_seed=42)[source]¶
The UCI regression datasets.
- Parameters:
root (string) – Root directory of the datasets.
batch_size (int) – The batch size for training and testing.
dataset_name (string, optional) – The name of the dataset. One of “boston-housing”, “concrete”, “energy”, “kin8nm”, “naval-propulsion-plant”, “power-plant”, “protein”, “wine-quality-red”, and “yacht”.
val_split (float, optional) – Share of validation samples. Defaults to
0.num_workers (int, optional) – How many subprocesses to use for data loading. Defaults to
1.pin_memory (bool, optional) – Whether to pin memory in the GPU. Defaults to
True.persistent_workers (bool, optional) – Whether to use persistent workers. Defaults to
True.input_shape (tuple, optional) – The shape of the input data. Defaults to
None.split_seed (int, optional) – The seed to use for splitting the dataset. Defaults to
42.