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Tip
titleTip: Use descriptive names in your pull requests

SPARK-123: Add some feature to Spark

[STREAMING] SPARK-123: Add some feature to Spark streaming

[MLLIB] [WIP] SPARK-123: Some potentially useful feature for MLLib

Contributing New Algorithms to MLLib

While a rich set of algorithms is an important goal for MLLib, scaling the project requires that maintainability, consistency, and code quality come first.  New algorithms should

  •  Be widely known
  • Be used and accepted (academic citations and concrete use cases can help justify this)
  • Be highly scalable
  • Be well documented
  • Have APIs consistent with other algorithms in MLLib that accomplish the same thing
  • Come with a reasonable expectation of developer support.

Starter Tasks

If you are new to Spark and want to contribute, you can browse through the list of starter tasks on our JIRA. These tasks are typically small and simple, and are excellent problems to get you ramped up.

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