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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