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scikit-contrib submission

No due date 100% complete

An accrual of to-do's prior to submission to https://github.com/scikit-learn-contrib.

Instructions at: https://github.com/scikit-learn-contrib/scikit-learn-contrib/blob/master/workflow.md, namely

  • scikit-learn compatible (check_estimator passed)
  • Available on github
  • Open-source license (BSD preferred but not mandatory)
  • Documentation (guide, API referen…

An accrual of to-do's prior to submission to https://github.com/scikit-learn-contrib.

Instructions at: https://github.com/scikit-learn-contrib/scikit-learn-contrib/blob/master/workflow.md, namely

  • scikit-learn compatible (check_estimator passed)
  • Available on github
  • Open-source license (BSD preferred but not mandatory)
  • Documentation (guide, API reference, example gallery)
  • Unit tests
  • Python3 compatible
  • PEP8 compliant
  • Continuous integration

Steps:

  • File a request for inclusion into scikit-learn-contrib.
  • The project undergoes a simple review by scikit-learn or scikit-learn-contrib members to check that the above requirements are satisfied.
  • A team is created in the scikit-learn-contrib organization for your project.
  • Transfer your project to the scikit-learn-contrib organization (transfer retains branches, stars, etc).
  • Fork the project in your account (this way, the old project URL is still valid).

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