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CONTRIBUTING.md

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@@ -17,7 +17,7 @@ GitHub, clone, and develop on a branch. Steps:
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a copy of the code under your GitHub user account. For more details on
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how to fork a repository see [this guide](https://help.github.com/articles/fork-a-repo/).
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2. Clone your fork of the scikit-learn repo from your GitHub account to your local disk:
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2. Clone your fork of the POT repo from your GitHub account to your local disk:
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```bash
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$ git clone git@github.com:YourLogin/POT.git
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example script in the ``examples/`` folder. Have a look at other
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examples for reference. Examples should demonstrate why the new
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functionality is useful in practice and, if possible, compare it
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to other methods available in scikit-learn.
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to other methods available in POT.
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- Documentation and high-coverage tests are necessary for enhancements to be
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accepted. Bug-fixes or new features should be provided with
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See [Creating and highlighting code blocks](https://help.github.com/articles/creating-and-highlighting-code-blocks).
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- Please include your operating system type and version number, as well
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as your Python, scikit-learn, numpy, and scipy versions. This information
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as your Python, POT, numpy, and scipy versions. This information
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can be found by running the following code snippet:
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```python
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New contributor tips
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--------------------
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A great way to start contributing to scikit-learn is to pick an item
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from the list of [Easy issues](https://github.com/scikit-learn/scikit-learn/issues?labels=Easy)
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A great way to start contributing to POT is to pick an item
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from the list of [Easy issues](https://github.com/rflamary/POT/issues?labels=Easy)
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in the issue tracker. Resolving these issues allow you to start
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contributing to the project without much prior knowledge. Your
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assistance in this area will be greatly appreciated by the more
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illustrating it.
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This Contrubution guide is strongly inpired by the one of the [scikit-learn](https://github.com/scikit-learn/scikit-learn) team.
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This Contribution guide is strongly inpired by the one of the [scikit-learn](https://github.com/scikit-learn/scikit-learn) team.

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