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https://issues.apache.org/jira/browse/SPARK-6239?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14387748#comment-14387748
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Littlestar edited comment on SPARK-6239 at 3/31/15 1:09 AM:
------------------------------------------------------------

>>>I would imagine a relative value is more usually useful. 
when recnum=12345678, minsupport=0.003, recnum*minsupport near to integer.

Some result with little difference is lost because of double precision.



was (Author: cnstar9988):
>>If I want to set minCount=2, I must use.setMinSupport(1.99/(rdd.count())), 
>>because of double's precision.


How to reopen this PR and mark relation to  pull/5246, thanks.


> 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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