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From "Alexander Ulanov (JIRA)" <>
Subject [jira] [Commented] (SPARK-5256) Improving MLlib optimization APIs
Date Thu, 22 Jan 2015 01:05:35 GMT


Alexander Ulanov commented on SPARK-5256:

I've implemented my proposition with Vector as output in

> Improving MLlib optimization APIs
> ---------------------------------
>                 Key: SPARK-5256
>                 URL:
>             Project: Spark
>          Issue Type: Umbrella
>          Components: MLlib
>    Affects Versions: 1.2.0
>            Reporter: Joseph K. Bradley
> *Goal*: Improve APIs for optimization
> *Motivation*: There have been several disjoint mentions of improving the optimization
APIs to make them more pluggable, extensible, etc.  This JIRA is a place to discuss what API
changes are necessary for the long term, and to provide links to other relevant JIRAs.
> Eventually, I hope this leads to a design doc outlining:
> * current issues
> * requirements such as supporting many types of objective functions, optimization algorithms,
and parameters to those algorithms
> * ideal API
> * breakdown of smaller JIRAs needed to achieve that API
> I will soon create an initial design doc, and I will try to watch this JIRA and include
ideas from JIRA comments.

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