DOC fix broken link contributing (#100)

Author: TimotheeMathieu

README.rst

@@ -31,7 +31,7 @@ Dependencies
 ^^^^^^^^^^^^
 
 scikit-learn-extra requires,
- 
+
 - Python (>=3.6)
 - scikit-learn (>=0.23), and its dependencies
 
@@ -48,26 +48,20 @@ Latest release can be installed with conda,
 or from PyPi with,
 
 .. code::
-   
+
    pip install scikit-learn-extra
 
 Note that installing from PyPi requires a working C compiler (cf `installation
 instructions
 <https://scikit-learn.org/dev/developers/advanced_installation.html#platform-specific-instructions>`_).
-   
+
 The developement version can be installed with,
 
 .. code::
 
     pip install https://github.com/scikit-learn-contrib/scikit-learn-extra/archive/master.zip
 
-Contributing
--------------
-We appreciate and welcome contributions. If you would like to take part in scikit-learn development, take a look at the file `CONTRIBUTING.rst`_.
-
-.. _CONTRIBUTING.rst : https://github.com/scikit-learn-contrib/scikit-learn-extra/CONTRIBUTING.rst
 License
 -------
 
 This package is released under the 3-Clause BSD license.
-

CONTRIBUTING.rst renamed to doc/contributing.rst

@@ -13,21 +13,21 @@ The preferred workflow to contribute is:
 
 1. Fork this repository into your own github account.
 2. Clone the fork on your account onto your local disk:
- 
+
 .. code-block:: console
 
     git clone [email protected]:YourLogin/scikit-learn-extra.git
     cd scikit-learn-extra
-    
+
 3. Create a branch for your new feature, do not work in the master branch:
 
 .. code-block:: console
 
     git checkout -b new-feature
-    
+
 4. Write some code, or docs, or tests.
 5. When you are done, submit a pull request.
- 
+
 Guidelines
 ==========
 
@@ -47,11 +47,10 @@ To run the tests, use:
 .. code-block:: console
 
     pytest
-    
+
 Easy Issues / Getting Started
 =============================
 
 There are usually some issues in the project github page looking for contributors, if not you're welcome to propose some
-ideas there, or a great first step is often to just use the library, and add to the examples directory. This helps us 
+ideas there, or a great first step is often to just use the library, and add to the examples directory. This helps us
 with documentation, and often helps to find things that would make the library better to use.
-

doc/index.rst

@@ -21,3 +21,9 @@ scikit-learn-extra is a Python module for machine learning that extends scikit-l
    :caption: Examples
 
    auto_examples/index
+
+.. toctree::
+  :maxdepth: 2
+  :caption: Project
+
+  contributing