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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2016/01/06 11:06:39 UTC
[jira] [Resolved] (SPARK-4722) StreamingLinearRegression should
return a DStream of weights when calling trainOn
[ https://issues.apache.org/jira/browse/SPARK-4722?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen resolved SPARK-4722.
------------------------------
Resolution: Won't Fix
> StreamingLinearRegression should return a DStream of weights when calling trainOn
> ---------------------------------------------------------------------------------
>
> Key: SPARK-4722
> URL: https://issues.apache.org/jira/browse/SPARK-4722
> Project: Spark
> Issue Type: Improvement
> Components: MLlib, Streaming
> Reporter: Arthur Andres
> Priority: Minor
> Labels: mllib, regression, streaming
>
> When training a model with a stream of new data (Spark Streaming + Spark Mlllib), the weights (and the other part of the regression model) update at every iterations.
> At the moment the only output we can get is the prediction when calling predictOn (class StreamingLinearRegression)
> It would be a nice improvement if trainOn would return a Dstream of weights (and any other underlying model data) so we can access it and see it evolve. At the moment they are only outputted in the log
> For example this could then be saved so when reloading the application we can access this information without having to train the model again.
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