[jira] [Resolved] (SPARK-6192) Enhance MLlib's Python API (GSoC 2015)

["Joseph K. Bradley (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-6192?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Joseph K. Bradley resolved SPARK-6192.
--------------------------------------
       Resolution: Done
    Fix Version/s: 1.5.0

> Enhance MLlib's Python API (GSoC 2015)
> --------------------------------------
>
>                 Key: SPARK-6192
>                 URL: https://issues.apache.org/jira/browse/SPARK-6192
>             Project: Spark
>          Issue Type: Umbrella
>          Components: ML, MLlib, PySpark
>            Reporter: Xiangrui Meng
>            Assignee: Manoj Kumar
>              Labels: gsoc, gsoc2015, mentor
>             Fix For: 1.5.0
>
>
> This is an umbrella JIRA for [~MechCoder]'s GSoC 2015 project. The main theme is to enhance MLlib's Python API, to make it on par with the Scala/Java API. The main tasks are:
> 1. For all models in MLlib, provide save/load method. This also
> includes save/load in Scala.
> 2. Python API for evaluation metrics.
> 3. Python API for streaming ML algorithms.
> 4. Python API for distributed linear algebra.
> 5. Simplify MLLibPythonAPI using DataFrames. Currently, we use
> customized serialization, making MLLibPythonAPI hard to maintain. It
> would be nice to use the DataFrames for serialization.
> I'll link the JIRAs for each of the tasks.
> Note that this doesn't mean all these JIRAs are pre-assigned to [~MechCoder]. The TODO list will be dynamic based on the backlog.



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