BankMarketingDataModule

class torch_uncertainty.datamodules.BankMarketingDataModule(root, batch_size, eval_batch_size=None, val_split=0.0, test_split=0.2, num_workers=1, pin_memory=True, persistent_workers=True, binary=True)

The Bank Marketing UCI classification datamodule.

Parameters:

• root (str | Path) – Root directory of the datasets.

• batch_size (int) – The batch size for training and testing.

• eval_batch_size (int | None) – Number of samples per batch during evaluation (val and test). Set to batch_size if None. Defaults to None.

• val_split (float, optional) – Share of validation samples among the non-test samples. Defaults to 0.

• test_split (float, optional) – Share of test samples. Defaults to 0.2.

• 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.

• binary (bool, optional) – Whether to use binary classification. Defaults to True.