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https://issues.apache.org/jira/browse/SPARK-16786?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15796648#comment-15796648
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Joseph K. Bradley commented on SPARK-16786:
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[~supremekai] Thanks for the PR. I'm sorry about the inactivity on this.
However, now that it has been added to the DataFrame-based API (in pyspark.ml),
we will not be adding it to the RDD-based API. I'll close this issue.
> 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
> 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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