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https://issues.apache.org/jira/browse/SPARK-2438?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-2438:
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Assignee: Jeremy Freeman
> Streaming + MLLib
> -----------------
>
> Key: SPARK-2438
> URL: https://issues.apache.org/jira/browse/SPARK-2438
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Reporter: Jeremy Freeman
> Assignee: Jeremy Freeman
> Labels: features
>
> This is a ticket to track progress on developing streaming analyses in MLLib.
> Many streaming applications benefit from or require fitting models online,
> where the parameters of a model (e.g. regression, clustering) are updated
> continually as new data arrive. This can be accomplished by incorporating
> MLLib algorithms into model-updating operations over DStreams. In some cases
> this can be achieved using existing updaters (e.g. those based on SGD), but
> in other cases will require custom update rules (e.g. for KMeans). The goal
> is to have streaming versions of many common algorithms, in particular
> regression, classification, clustering, and possibly dimensionality reduction.
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