Skip to main content

A small package for loading and handling UEA UCR time series classification datasets.

Project description


This package contains convenience functions and classes to access the UEA UCR time series classification archive.

Currently it contains the following functionalities:

  • Dataset class: Loads UEA UCR dataset stored in the sktime format from ~/.data/UEA_UCR/ or path provided via the UEA_UCR_DATA_DIR environment variable. This class is compatible with the pytorch DataLoader class.
  • list_datasets: List datasets available in the ~/.data/UEA_UCR/ folder or path provided via the UEA_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()
>>> 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.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

uea_ucr_datasets-0.1.2.tar.gz (3.2 kB view hashes)

Uploaded source

Built Distribution

uea_ucr_datasets-0.1.2-py3-none-any.whl (4.1 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page