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https://issues.apache.org/jira/browse/SPARK-20082?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15945892#comment-15945892
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Mathieu D commented on SPARK-20082:
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[~yuhaoyan] would you mind having a look to this PR. Right now, I added an
initialModel only for the Online optimizer.
Regarding the EM optimizer, I could add new doc vertices and new doc->term
edges to the existing graph. But it's unclear for me how the new doc vertices
should be weighted when added. Right now for a new model, docs and terms
vertices are weighted randomly, with the same total weight on docs and terms.
If I add new docs to an existing graph, how to initialize the weights on this
side ?
> Incremental update of LDA model, by adding initialModel as start point
> ----------------------------------------------------------------------
>
> Key: SPARK-20082
> URL: https://issues.apache.org/jira/browse/SPARK-20082
> Project: Spark
> Issue Type: New Feature
> Components: ML
> Affects Versions: 2.1.0
> Reporter: Mathieu D
>
> Some mllib models support an initialModel to start from and update it
> incrementally with new data.
> From what I understand of OnlineLDAOptimizer, it is possible to incrementally
> update an existing model with batches of new documents.
> I suggest to add an initialModel as a start point for LDA.
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