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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2016/06/10 11:27:20 UTC
[jira] [Resolved] (SPARK-15837) PySpark ML Word2Vec should support
maxSentenceLength
[ https://issues.apache.org/jira/browse/SPARK-15837?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen resolved SPARK-15837.
-------------------------------
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 13578
[https://github.com/apache/spark/pull/13578]
> PySpark ML Word2Vec should support maxSentenceLength
> ----------------------------------------------------
>
> Key: SPARK-15837
> URL: https://issues.apache.org/jira/browse/SPARK-15837
> Project: Spark
> Issue Type: Improvement
> Components: ML, PySpark
> Reporter: Yanbo Liang
> Priority: Minor
> Fix For: 2.0.0
>
>
> SPARK-15793 adds maxSentenceLength for ML Word2Vec in Scala, we should also add it in Python API.
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