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Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2015/05/12 22:44:00 UTC
[jira] [Updated] (SPARK-6258) Python MLlib API missing items:
Clustering
[ https://issues.apache.org/jira/browse/SPARK-6258?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xiangrui Meng updated SPARK-6258:
---------------------------------
Assignee: Yanbo Liang
> 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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