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Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2015/05/15 01:18:00 UTC
[jira] [Commented] (SPARK-7651) PySpark GMM predict, predictSoft
should fail on bad input
[ https://issues.apache.org/jira/browse/SPARK-7651?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14544599#comment-14544599 ]
Joseph K. Bradley commented on SPARK-7651:
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Ping [~MeethuMathew]: Could you please make this fix? It should be quick. Thank you!
> PySpark GMM predict, predictSoft should fail on bad input
> ---------------------------------------------------------
>
> Key: SPARK-7651
> URL: https://issues.apache.org/jira/browse/SPARK-7651
> Project: Spark
> Issue Type: Bug
> Components: MLlib, PySpark
> Affects Versions: 1.3.0, 1.3.1, 1.4.0
> Reporter: Joseph K. Bradley
>
> In PySpark, GaussianMixtureModel predict and predictSoft test if the argument is an RDD and operate correctly if so. But if the argument is not an RDD, they fail silently, returning nothing.
> [https://github.com/apache/spark/blob/11a1a135d1fe892cd48a9116acc7554846aed84c/python/pyspark/mllib/clustering.py#L176]
> Instead, they should raise errors.
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