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Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2015/07/27 20:17:05 UTC
[jira] [Updated] (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 ]
Xiangrui Meng updated SPARK-7423:
---------------------------------
Assignee: George Dittmar
> 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: George Dittmar
> Priority: Minor
> Labels: starter
> Fix For: 1.5.0
>
>
> 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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