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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/07/29 01:35:20 UTC
[jira] [Assigned] (SPARK-16786) LDA topic distributions for new
documents in PySpark
[ https://issues.apache.org/jira/browse/SPARK-16786?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-16786:
------------------------------------
Assignee: Apache Spark
> LDA topic distributions for new documents in PySpark
> ----------------------------------------------------
>
> Key: SPARK-16786
> URL: https://issues.apache.org/jira/browse/SPARK-16786
> Project: Spark
> Issue Type: Improvement
> Components: MLlib, PySpark
> Affects Versions: 2.0.0
> Environment: N/A
> Reporter: Jordan Beauchamp
> Assignee: Apache Spark
> Priority: Minor
> Labels: patch
> Original Estimate: 24h
> Remaining Estimate: 24h
>
> pyspark.mllib.clustering.LDAModel has no way to estimate the topic distribution for new documents. However, this functionality exists in org.apache.spark.mllib.clustering.LDAModel. This change would only require setting up the API calls. I have forked the spark repo and implemented the changes locally
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