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https://issues.apache.org/jira/browse/SPARK-6239?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Littlestar updated SPARK-6239:
------------------------------
Description:
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.
was:
Spark MLlib fpm#FPGrowth minSupport should use double 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.
Summary: Spark MLlib fpm#FPGrowth minSupport should use long instead
(was: Spark MLlib fpm#FPGrowth minSupport should use double instead)
> 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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