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
Attachments
Issue Links
- is depended upon by
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SPARK-3181 Add Robust Regression Algorithm with Huber Estimator
- Resolved
- is related to
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SPARK-16592 Improving ml.Logistic Regression on speed and scalability
- Resolved
- links to