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authorRémi Flamary <remi.flamary@gmail.com>2018-09-25 08:19:03 +0200
committerRémi Flamary <remi.flamary@gmail.com>2018-09-25 08:19:03 +0200
commitc531fba46d9ea703a8a5ae270efe44466d54a593 (patch)
tree1bd27ff82c2df4cff4555c506b2c9ab9ed294aa8 /CONTRIBUTING.md
parent6a69eddaff07f9bba2b081aa9d7e26b130b441f9 (diff)
update contibution.md
Diffstat (limited to 'CONTRIBUTING.md')
-rw-r--r--CONTRIBUTING.md12
1 files changed, 6 insertions, 6 deletions
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index 84ef29a..54e7e42 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -17,7 +17,7 @@ GitHub, clone, and develop on a branch. Steps:
a copy of the code under your GitHub user account. For more details on
how to fork a repository see [this guide](https://help.github.com/articles/fork-a-repo/).
-2. Clone your fork of the scikit-learn repo from your GitHub account to your local disk:
+2. Clone your fork of the POT repo from your GitHub account to your local disk:
```bash
$ git clone git@github.com:YourLogin/POT.git
@@ -84,7 +84,7 @@ following rules before you submit a pull request:
example script in the ``examples/`` folder. Have a look at other
examples for reference. Examples should demonstrate why the new
functionality is useful in practice and, if possible, compare it
- to other methods available in scikit-learn.
+ to other methods available in POT.
- Documentation and high-coverage tests are necessary for enhancements to be
accepted. Bug-fixes or new features should be provided with
@@ -145,7 +145,7 @@ following rules before submitting:
See [Creating and highlighting code blocks](https://help.github.com/articles/creating-and-highlighting-code-blocks).
- Please include your operating system type and version number, as well
- as your Python, scikit-learn, numpy, and scipy versions. This information
+ as your Python, POT, numpy, and scipy versions. This information
can be found by running the following code snippet:
```python
@@ -165,8 +165,8 @@ following rules before submitting:
New contributor tips
--------------------
-A great way to start contributing to scikit-learn is to pick an item
-from the list of [Easy issues](https://github.com/scikit-learn/scikit-learn/issues?labels=Easy)
+A great way to start contributing to POT is to pick an item
+from the list of [Easy issues](https://github.com/rflamary/POT/issues?labels=Easy)
in the issue tracker. Resolving these issues allow you to start
contributing to the project without much prior knowledge. Your
assistance in this area will be greatly appreciated by the more
@@ -201,4 +201,4 @@ method does to the data and a figure (coming from an example)
illustrating it.
-This Contrubution guide is strongly inpired by the one of the [scikit-learn](https://github.com/scikit-learn/scikit-learn) team.
+This Contribution guide is strongly inpired by the one of the [scikit-learn](https://github.com/scikit-learn/scikit-learn) team.