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https://issues.apache.org/jira/browse/SPARK-7651?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-7651:
-----------------------------------
Assignee: Apache Spark
> 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
> Assignee: Apache Spark
> Priority: Minor
>
> 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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