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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2018/11/28 15:34:00 UTC
[jira] [Resolved] (SPARK-25989) OneVsRestModel handle empty
outputCols incorrectly
[ https://issues.apache.org/jira/browse/SPARK-25989?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen resolved SPARK-25989.
-------------------------------
Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 22991
[https://github.com/apache/spark/pull/22991]
> OneVsRestModel handle empty outputCols incorrectly
> --------------------------------------------------
>
> Key: SPARK-25989
> URL: https://issues.apache.org/jira/browse/SPARK-25989
> Project: Spark
> Issue Type: Bug
> Components: ML
> Affects Versions: 3.0.0
> Reporter: zhengruifeng
> Assignee: zhengruifeng
> Priority: Minor
> Fix For: 3.0.0
>
>
> {\{ml.classification.ClassificationModel}} will ignore empty output columns.
> However, \{{OneVsRestModel}} still try to append new column even if its name is an empty string.
> {code:java}
> scala> ovrModel.setPredictionCol("").transform(test).show
> +-----+--------------------+--------------------+---+
> |label| features| rawPrediction| |
> +-----+--------------------+--------------------+---+
> | 0.0|(4,[0,1,2,3],[-0....|[-0.0965652626152...|2.0|
> | 0.0|(4,[0,1,2,3],[-0....|[0.07880609384635...|2.0|
> | 0.0|(4,[0,1,2,3],[-1....|[0.01891571586984...|2.0|
> | 0.0|(4,[0,1,2,3],[0.1...|[0.72409973016524...|0.0|
> | 0.0|(4,[0,1,2,3],[0.1...|[0.48045978946729...|2.0|
> | 0.0|(4,[0,1,2,3],[0.3...|[1.05496616040758...|0.0|
> | 0.0|(4,[0,1,2,3],[0.3...|[0.79508659065535...|0.0|
> | 0.0|(4,[0,1,2,3],[0.6...|[1.47437469552081...|0.0|
> | 0.0|(4,[0,1,2,3],[0.6...|[1.23302929670223...|0.0|
> | 0.0|(4,[0,1,2,3],[0.8...|[1.79816156359706...|0.0|
> | 1.0|(4,[0,1,2,3],[-0....|[-3.1564309664080...|1.0|
> | 1.0|(4,[0,1,2,3],[-0....|[-3.2217906250571...|1.0|
> | 1.0|(4,[0,1,2,3],[-0....|[-2.9171126308553...|1.0|
> | 1.0|(4,[0,1,2,3],[-0....|[-2.8316993051998...|1.0|
> | 2.0|(4,[0,1,2,3],[-0....|[-1.6486206847760...|2.0|
> | 2.0|(4,[0,1,2,3],[-0....|[-0.9252139721697...|2.0|
> | 2.0|(4,[0,1,2,3],[-0....|[-0.9025379528484...|2.0|
> | 2.0|(4,[0,1,2,3],[-0....|[-0.8518243169707...|2.0|
> | 2.0|(4,[0,1,2,3],[-0....|[-1.0990190524225...|2.0|
> | 2.0|(4,[0,1,2,3],[-0....|[-0.9973479746889...|2.0|
> +-----+--------------------+--------------------+---+
> only showing top 20 rows
> scala> ovrModel.setPredictionCol("").setRawPredictionCol("raw").transform(test).show
> +-----+--------------------+--------------------+---+
> |label| features| raw| |
> +-----+--------------------+--------------------+---+
> | 0.0|(4,[0,1,2,3],[-0....|[-0.0965652626152...|2.0|
> | 0.0|(4,[0,1,2,3],[-0....|[0.07880609384635...|2.0|
> | 0.0|(4,[0,1,2,3],[-1....|[0.01891571586984...|2.0|
> | 0.0|(4,[0,1,2,3],[0.1...|[0.72409973016524...|0.0|
> | 0.0|(4,[0,1,2,3],[0.1...|[0.48045978946729...|2.0|
> | 0.0|(4,[0,1,2,3],[0.3...|[1.05496616040758...|0.0|
> | 0.0|(4,[0,1,2,3],[0.3...|[0.79508659065535...|0.0|
> | 0.0|(4,[0,1,2,3],[0.6...|[1.47437469552081...|0.0|
> | 0.0|(4,[0,1,2,3],[0.6...|[1.23302929670223...|0.0|
> | 0.0|(4,[0,1,2,3],[0.8...|[1.79816156359706...|0.0|
> | 1.0|(4,[0,1,2,3],[-0....|[-3.1564309664080...|1.0|
> | 1.0|(4,[0,1,2,3],[-0....|[-3.2217906250571...|1.0|
> | 1.0|(4,[0,1,2,3],[-0....|[-2.9171126308553...|1.0|
> | 1.0|(4,[0,1,2,3],[-0....|[-2.8316993051998...|1.0|
> | 2.0|(4,[0,1,2,3],[-0....|[-1.6486206847760...|2.0|
> | 2.0|(4,[0,1,2,3],[-0....|[-0.9252139721697...|2.0|
> | 2.0|(4,[0,1,2,3],[-0....|[-0.9025379528484...|2.0|
> | 2.0|(4,[0,1,2,3],[-0....|[-0.8518243169707...|2.0|
> | 2.0|(4,[0,1,2,3],[-0....|[-1.0990190524225...|2.0|
> | 2.0|(4,[0,1,2,3],[-0....|[-0.9973479746889...|2.0|
> +-----+--------------------+--------------------+---+
> only showing top 20 rows
> {code}
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