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https://issues.apache.org/jira/browse/SPARK-6258?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley resolved SPARK-6258.
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Resolution: Fixed
Issue resolved by pull request 6087
[https://github.com/apache/spark/pull/6087]
> 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
> Assignee: Yanbo Liang
>
> 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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