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Date: Fri, 29 Jul 2016 20:32:20 +0000 (UTC)
From: "Sean Owen (JIRA)" <jira@apache.org>
To: issues@spark.apache.org
Message-ID: <JIRA.12993619.1469820551000.172275.1469824340577@Atlassian.JIRA>
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Subject: [jira] [Commented] (SPARK-16801) clearThreshold does not work for
 SparseVector
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archived-at: Fri, 29 Jul 2016 20:32:22 -0000


    [ https://issues.apache.org/jira/browse/SPARK-16801?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15399953#comment-15399953 ] 

Sean Owen commented on SPARK-16801:
-----------------------------------

{{clearThreshold}} is unrelated to vectors entirely. It's a threshold on the dot product. You'd have to provide a specific example, but I don't think this can be the actual problem if there is one.

> clearThreshold does not work for SparseVector
> ---------------------------------------------
>
>                 Key: SPARK-16801
>                 URL: https://issues.apache.org/jira/browse/SPARK-16801
>             Project: Spark
>          Issue Type: Bug
>          Components: MLlib, PySpark
>    Affects Versions: 1.6.2
>            Reporter: Rahul Shah
>            Priority: Minor
>
> LogisticRegression model of mllib library performs randomly when passed with an SparseVector instead of DenseVector.


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