[SPARK-8986] GaussianMixture should take smoothing param

• Type: New Feature
• Status: Resolved
• Priority: Major
• Resolution: Incomplete
• Component/s: ML
• Labels: bulk-closed
• Assignee: Unassigned
• Reporter: Joseph K. Bradley
• Created: 10/Jul/15 18:51
• Updated: 21/May/19 04:34
• Resolved: 21/May/19 04:34

Description

Gaussian mixture models should take a smoothing parameter which makes the algorithm robust against degenerate data or bad initializations.

Whomever takes this JIRA should look at other libraries (sklearn, R packages, Weka, etc.) to see how they do smoothing and what their API looks like. Please summarize your findings here.

Issue Links

• is required by: SPARK-7206 Gaussian Mixture Model (GMM) improvements