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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/07/26 09:30:05 UTC

[jira] [Assigned] (SPARK-7423) spark.ml Classifier predict should not convert vectors to dense format

     [ https://issues.apache.org/jira/browse/SPARK-7423?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-7423:
-----------------------------------

    Assignee: Apache Spark

> spark.ml Classifier predict should not convert vectors to dense format
> ----------------------------------------------------------------------
>
>                 Key: SPARK-7423
>                 URL: https://issues.apache.org/jira/browse/SPARK-7423
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML
>            Reporter: Joseph K. Bradley
>            Assignee: Apache Spark
>            Priority: Minor
>              Labels: starter
>
> spark.ml.classification.ClassificationModel and ProbabilisticClassificationModel both use DenseVector.argmax to implement prediction (computing the prediction from the rawPrediction or probability Vectors).  It would be best to implement argmax for Vector and SparseVector and use Vector.argmax, rather than converting Vectors to dense format.



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