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https://issues.apache.org/jira/browse/SPARK-23740?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16413199#comment-16413199
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Teng Peng commented on SPARK-23740:
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I suppose `beforehand` means before itemsets been generated, correct?
If so, it seems we have two approaches here:
# Add a new filter condition in `genFreqItems`, but this is in MLlib, not ML.
# Filter input dataset before we call mllibFP. Then we will have implement a
similar method like `genFreqItems` in MLlib. Does this look good to you?
> Add FPGrowth Param for filtering out very common items
> ------------------------------------------------------
>
> Key: SPARK-23740
> URL: https://issues.apache.org/jira/browse/SPARK-23740
> Project: Spark
> Issue Type: Improvement
> Components: ML
> Affects Versions: 2.3.0
> Reporter: Joseph K. Bradley
> Priority: Major
>
> It would be handy to have a Param in FPGrowth for filtering out very common
> items. This is from a use case where the dataset had items appearing in
> 99.9%+ of the rows. These common items were useless, but they caused the
> algorithm to generate many unnecessary itemsets. Filtering useless common
> items beforehand can make the algorithm much faster.
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