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https://issues.apache.org/jira/browse/SPARK-4980?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-4980:
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Target Version/s: 1.4.0 (was: 1.3.0)
> Add decay factors to streaming linear methods
> ---------------------------------------------
>
> Key: SPARK-4980
> URL: https://issues.apache.org/jira/browse/SPARK-4980
> Project: Spark
> Issue Type: New Feature
> Components: MLlib, Streaming
> Reporter: Jeremy Freeman
> Priority: Minor
>
> Our implementation of streaming k-means uses an decay factor that allows
> users to control how quickly the model adjusts to new data: whether it treats
> all data equally, or only bases its estimate on the most recent batch. It is
> intuitively parameterized, and can be specified in units of either batches or
> points. We should add a similar decay factor to the streaming linear methods
> using SGD, including streaming linear regression (currently implemented) and
> streaming logistic regression (in development).
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