[
https://issues.apache.org/jira/browse/SPARK-8998?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14625716#comment-14625716
]
Apache Spark commented on SPARK-8998:
-------------------------------------
User 'zhangjiajin' has created a pull request for this issue:
https://github.com/apache/spark/pull/7383
> Collect enough frequent prefixes before projection in PrefixSpan
> ----------------------------------------------------------------
>
> Key: SPARK-8998
> URL: https://issues.apache.org/jira/browse/SPARK-8998
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Affects Versions: 1.5.0
> Reporter: Xiangrui Meng
> Assignee: Zhang JiaJin
> Original Estimate: 48h
> Remaining Estimate: 48h
>
> The implementation in SPARK-6487 might have scalability issues when the
> number of frequent items is very small. In this case, we can generate
> candidate sets of higher orders using Apriori-like algorithms and count them,
> until we collect enough prefixes.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]