HTRU2

class torch_uncertainty.datasets.classification.uci.HTRU2(root, transform=None, target_transform=None, binary=True, download=False, train=True, test_split=0.2, split_seed=21893027)

The HTRU2 UCI classification dataset.

Parameters:

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

• train (bool, optional) – If True, creates dataset from training set, otherwise creates from test set.

• transform (callable, optional) – A function/transform that takes in a numpy array and returns a transformed version. Defaults to None.

• target_transform (callable, optional) – A function/transform that takes in the target and transforms it. Defaults to None.

• download (bool, optional) – If True, downloads the dataset from the internet and puts it in root directory. If dataset is already downloaded, it is not downloaded again. Defaults to False.

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

• test_split (float, optional) – The fraction of the dataset to use as test set. Defaults to 0.2.

• split_seed (int, optional) – The random seed for splitting the dataset. Defaults to 21893027.

Note

The licenses of the datasets may differ from TorchUncertainty’s license. Check before use.