uea_ucr_datasets
This package contains convenience functions and classes to access the UEA UCR time series classification archive.
Currently it contains the following functionalities:
Datasetclass: Loads UEA UCR dataset stored in thesktimeformat from~/.data/UEA_UCR/or path provided via theUEA_UCR_DATA_DIRenvironment variable. This class is compatible with the pytorchDataLoaderclass.list_datasets: List datasets available in the~/.data/UEA_UCR/folder or path provided via theUEA_UCR_DATA_DIR
Example usage
Download the sktime version of the UEA and UCR datasets. And unpack them.
Move the folders of the individual datasets to the path ~/.data/UEA_UCR.
>>> import uea_ucr_datasets
>>> uea_ucr_datasets.list_datasets()
['LSST',..]
>>> d = uea_ucr_datasets.Dataset('UWaveGestureLibrary', train=True)
>>> first_instance = d[0]
>>> instance_x, instance_y = first_instance
Alternative data paths
You can also store the data at another location, then it is required to set the
environment variable UEA_UCR_DATA_DIR appropriately such that the package can
find the datasets.
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Release files for uea-ucr-datasets 0.1.2
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