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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/07/23 11:00:11 UTC

[jira] [Assigned] (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 ]

Apache Spark reassigned SPARK-9122:
-----------------------------------

    Assignee: Apache Spark  (was: Yanbo Liang)

> 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: Apache Spark
>              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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