Welcome to scikit-datasets’s documentation!

This package groups functions to fetch datasets from several sources, converting them to scikit-learn-compatible datasets.

In the project page hosted by Github you can find more information related to the development of the package.

Installation

Currently, scikit-datasets is available in Python 3, regardless of the platform. The stable version can be installed via PyPI:

pip install scikit-datasets

Content tree

Contents:

• Dataset structure
• Repositories
  • Aneurisk
  • CRAN
  • Forex
  • Keel
  • Keras
  • LIBSVM
  • Rätsch
  • scikit-learn
  • UCI
  • UCR
• Utilities
  • Estimator
  • Experiment
  • Scores

Contributions

All contributions are welcome. You can help this project grow in multiple ways, from creating an issue, reporting an improvement or a bug, to doing a repository fork and creating a pull request to the development branch.

If you want to contribute routines for fetching data from a new repository, please first open a new issue or draft PR to discuss it.

License

The package is licensed under the MIT License. A copy of the license can be found along with the code or in the project page.