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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/04/03 11:36:52 UTC
[jira] [Commented] (SPARK-6239) Spark MLlib fpm#FPGrowth minSupport
should use long instead
[ https://issues.apache.org/jira/browse/SPARK-6239?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14394247#comment-14394247 ]
Apache Spark commented on SPARK-6239:
-------------------------------------
User 'kretes' has created a pull request for this issue:
https://github.com/apache/spark/pull/5246
> Spark MLlib fpm#FPGrowth minSupport should use long instead
> -----------------------------------------------------------
>
> Key: SPARK-6239
> URL: https://issues.apache.org/jira/browse/SPARK-6239
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Affects Versions: 1.3.0
> Reporter: Littlestar
> Priority: Minor
>
> Spark MLlib fpm#FPGrowth minSupport should use long instead
> ==============
> val minCount = math.ceil(minSupport * count).toLong
> because:
> 1. [count]numbers of datasets is not kown before read.
> 2. [minSupport ]double precision.
> from mahout#FPGrowthDriver.java
> addOption("minSupport", "s", "(Optional) The minimum number of times a co-occurrence must be present."
> + " Default Value: 3", "3");
> I just want to set minCount=2 for test.
> Thanks.
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