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Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2015/07/21 19:35:05 UTC
[jira] [Updated] (SPARK-9122) spark.mllib regression should support
batch predict
[ https://issues.apache.org/jira/browse/SPARK-9122?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Joseph K. Bradley updated SPARK-9122:
-------------------------------------
Shepherd: Joseph K. Bradley
Assignee: Yanbo Liang
Remaining Estimate: 72h
Original Estimate: 72h
> spark.mllib regression should support batch predict
> ---------------------------------------------------
>
> Key: SPARK-9122
> URL: https://issues.apache.org/jira/browse/SPARK-9122
> Project: Spark
> Issue Type: Improvement
> Components: MLlib, PySpark
> Reporter: Joseph K. Bradley
> Assignee: Yanbo Liang
> Labels: starter
> Original Estimate: 72h
> Remaining Estimate: 72h
>
> Currently, in spark.mllib, generalized linear regression models like LinearRegressionModel, RidgeRegressionModel and LassoModel support predict() via: LinearRegressionModelBase.predict, which only takes single rows (feature vectors).
> It should support batch prediction, taking an RDD. (See other classes which do this already such as NaiveBayesModel.)
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