Github user thvasilo commented on a diff in the pull request:

    https://github.com/apache/flink/pull/727#discussion_r31055461
  
    --- Diff: docs/libs/ml/contribution_guide.md ---
    @@ -20,7 +21,329 @@ specific language governing permissions and limitations
     under the License.
     -->
     
    +The Flink community highly appreciates all sorts of contributions to 
FlinkML.
    +FlinkML offers people interested in machine learning to work on a highly 
active open source project which makes scalable ML reality.
    +The following document describes how to contribute to FlinkML.
    +
     * This will be replaced by the TOC
     {:toc}
     
    -Coming soon. In the meantime, check our list of [open issues on 
JIRA](https://issues.apache.org/jira/browse/FLINK-1748?jql=component%20%3D%20%22Machine%20Learning%20Library%22%20AND%20project%20%3D%20FLINK%20AND%20resolution%20%3D%20Unresolved%20ORDER%20BY%20priority%20DESC)
    +## Getting Started
    +
    +In order to get started first read Flink's [contribution 
guide](http://flink.apache.org/how-to-contribute.html).
    +Everything from this guide also applies to FlinkML.
    +
    +## Pick a Topic
    +
    +If you are looking for some new ideas, then you should check out the list 
of [unresolved issues on 
JIRA](https://issues.apache.org/jira/issues/?jql=component%20%3D%20%22Machine%20Learning%20Library%22%20AND%20project%20%3D%20FLINK%20AND%20resolution%20%3D%20Unresolved%20ORDER%20BY%20priority%20DESC).
    +Once you decide to contribute to one of these issues, you should take 
ownership of it and track your progress with this issue.
    +That way, the other contributors know the state of the different issues 
and redundant work is avoided.
    +
    +If you already know what you want to contribute to FlinkML all the better.
    +It is still advisable to create a JIRA issue for your idea to tell the 
Flink community what you want to do, though.
    +
    +## Testing
    +
    +New contributions should come with tests to verify the correct behavior of 
the algorithm.
    +The tests help to maintain the algorithm's correctness throughout code 
changes, e.g. refactorings.
    +
    +We distinguish between unit tests, which are executed during maven's test 
phase, and integration tests, which are executed during maven's verify phase.
    +Maven automatically makes this distinction by using the following naming 
rules:
    +All test cases whose class name ends with a suffix fulfilling the regular 
expression `(IT|Integration)(Test|Suite|Case)`, are considered integration 
tests.
    +The rest are considered unit tests and should only test behavior which is 
local to the component under test.
    +
    +An integration test is a test which requires the full Flink system to be 
started.
    +In order to do that properly, all integration test cases have to mix in 
the trait `FlinkTestBase`.
    +This trait will set the right `ExecutionEnvironment` so that the test will 
be executed on a special `FlinkMiniCluster` designated for testing purposes.
    +Thus, an integration test could look the following:
    +
    +{% highlight scala %}
    +class ExampleITSuite extends FlatSpec with FlinkTestBase {
    +  behavior of "An example algorithm"
    +  
    +  it should "do something" in {
    +    ...
    +  }
    +}
    +{% endhighlight %}
    +
    +The test style does not have to be `FlatSpec` but can be any other 
scalatest `Suite` subclass. 
    +
    +## Documentation
    +
    +When contributing new algorithms, it is required to add code comments 
describing the functioning of the algorithm and its parameters with which the 
user can control its behavior.
    --- End diff --
    
    functioning -> functionality


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