[SPARK-5013] User guide for Gaussian Mixture Model

• Type: Documentation
• Status: Resolved
• Priority: Major
• Resolution: Fixed
• Fix Version/s: 1.3.0
• Component/s: Documentation, MLlib
• Target Version/s: 1.3.0
• Assignee: Travis Galoppo
• Reporter: Xiangrui Meng
• Created: 30/Dec/14 19:01
• Updated: 06/Feb/15 18:27
• Resolved: 06/Feb/15 18:27

Description

Add GMM user guide with code examples in Scala/Java/Python.

Issue Links

• requires: SPARK-5012 Python API for Gaussian Mixture Model
• requires: SPARK-4156 Add expectation maximization for Gaussian mixture models to MLLib clustering
• links to: [Github] Pull Request #4401 (tgaloppo)