[SPARK-16494] Upgrade breeze version to 0.12

• Type: Improvement
• Status: Resolved
• Priority: Minor
• Resolution: Fixed
• Fix Version/s: 2.1.0
• Component/s: ML, MLlib
• Assignee: Yanbo Liang
• Reporter: Yanbo Liang
• Created: 12/Jul/16 08:40
• Updated: 29/Dec/16 16:24
• Resolved: 19/Jul/16 11:31

Description

breeze 0.12 has been released for more than half a year, and it brings lots of new features, performance improvement and bug fixes.
One of the biggest features is LBFGS-B which is an implementation of LBFGS with box constraints and much faster for some special case.
We would like to implement Huber loss function for LinearRegression (SPARK-3181) and it requires LBFGS-B as the optimization solver. So we should bump up the dependent breeze version to 0.12.

For more features, improvements and bug fixes of breeze 0.12, you can refer the following link:
https://groups.google.com/forum/#!topic/scala-breeze/nEeRi_DcY5c

Issue Links

• is depended upon by: SPARK-3181 Add Robust Regression Algorithm with Huber Estimator
• is related to: SPARK-16592 Improving ml.Logistic Regression on speed and scalability
• links to: [Github] Pull Request #14150 (yanboliang)