Hi, I am trying to take the OnlineLDAOptimizer and apply it iteratively to new data. My use case would be:
- Train the model using the DistributedLDAModel - Convert to LocalLDAModel - Apply to new data as data comes in using the OnlineLDAOptimizer I cannot see that this can be done without code change as the LDA class does not have the option to initialise with an existing model. Am I missing something? Thanks, -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Iterative-update-for-LocalLDAModel-tp27632.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe e-mail: user-unsubscr...@spark.apache.org
