[SPARK-4728] Add exponential, log normal, and gamma distributions to data generator to MLlib

• Type: New Feature
• Status: Resolved
• Priority: Minor
• Resolution: Fixed
• Fix Version/s: 1.3.0
• Component/s: MLlib
• Target Version/s: 1.3.0
• Assignee: R J Nowling
• Reporter: R J Nowling
• Created: 03/Dec/14 17:36
• Updated: 19/Dec/14 05:02
• Resolved: 19/Dec/14 05:01

Description

MLlib supports sampling from normal, uniform, and Poisson distributions.

I'd like to add support for sampling from exponential, gamma, and log normal distributions, using the features of math3 like the other generators.

Please assign this to me.

Issue Links

• is depended upon by: SPARK-4891 Add exponential, log normal, and gamma distributions to data generator to PySpark's MLlib
• links to: [Github] Pull Request #3680 (rnowling)