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

2015-07-27 Thread Xiangrui Meng (JIRA)

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

Xiangrui Meng updated SPARK-7423:
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Target Version/s: 1.5.0

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

2015-07-27 Thread Xiangrui Meng (JIRA)

 [ 
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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