[jira] [Commented] (SPARK-6258) Python MLlib API missing items: Clustering

["Yanbo Liang (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-6258?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14530434#comment-14530434 ] 

Yanbo Liang commented on SPARK-6258:
------------------------------------

[~hrishikesh] Are you still work on this issue? If you are not working on it, I can take it. [~josephkb]

> Python MLlib API missing items: Clustering
> ------------------------------------------
>
>                 Key: SPARK-6258
>                 URL: https://issues.apache.org/jira/browse/SPARK-6258
>             Project: Spark
>          Issue Type: Sub-task
>          Components: MLlib, PySpark
>    Affects Versions: 1.3.0
>            Reporter: Joseph K. Bradley
>
> This JIRA lists items missing in the Python API for this sub-package of MLlib.
> This list may be incomplete, so please check again when sending a PR to add these features to the Python API.
> Also, please check for major disparities between documentation; some parts of the Python API are less well-documented than their Scala counterparts.  Some items may be listed in the umbrella JIRA linked to this task.
> KMeans
> * setEpsilon
> * setInitializationSteps
> KMeansModel
> * computeCost
> * k
> GaussianMixture
> * setInitialModel
> GaussianMixtureModel
> * k
> Completely missing items which should be fixed in separate JIRAs (which have been created and linked to the umbrella JIRA)
> * LDA
> * PowerIterationClustering
> * StreamingKMeans



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