fetch_ucr#
- skfda.datasets.fetch_ucr(name: str, *, return_X_y: Literal[False] = False, **kwargs: Any) Bunch [source]#
- skfda.datasets.fetch_ucr(name: str, *, return_X_y: Literal[True], **kwargs: Any) Tuple[FDataGrid, ndarray[Any, dtype[int64]]]
Fetch a dataset from the UCR/UEA repository.
The UCR/UEA Time Series Classification repository, hosted at www.timeseriesclassification.com includes plenty of classification problems with univariate and multivariate time series [1][2]. They are widely used in the functional data classification literature.
- Parameters:
name – Dataset name.
return_X_y – Return tuple (data, target)
kwargs – Additional parameters for the function
skdatasets.repositories.ucr.fetch()
.
- Returns:
The dataset requested.
Note
Functional multivariate datasets are not yet supported.
References
Examples using skfda.datasets.fetch_ucr
#
Getting the data