TimeSeriesDataset¶

class torchtime.datasets.TimeSeriesDataset(root: str, transforms: Optional[Callable] = None, transform: Optional[Callable] = None, target_transform: Optional[Callable] = None)[source]¶

Base class for making datasets which are compatible with torchtime. It is necessary to override the __getitem__ and __len__ method.

Parameters:

root (string) – Root directory of dataset.
transforms (callable, optional) – A function/transforms that takes in a time series and a label and returns the transformed versions of both.
transform (callable, optional) – A function/transform that takes in a uni- or multivariate time series and returns a transformed version. E.g, transforms.NaN2Value
target_transform (callable, optional) – A function/transform that takes in the target and transforms it.

Note

transforms and the combination of transform and target_transform are mutually exclusive.

__getitem__(index: int) → Tuple[Any, Any][source]¶