Hi, Just so you know, I am new to Spark, and also very new to ML (this is my first contact with ML).
Ok, I am trying to write a DSL where you can run some commands. I did a command that trains the Spark LDA and it produces the topics I want and I saved it using the save method provided by the LDAModel. Now I want to load this LDAModel and use it to predict on a new set of data. I call the load method, obtain the LDAModel instance but here I am stuck. Isnt this possible ? Am I wrong in the way I understood LDA and we cannot reuse trained LDA to analyse new data ? If its possible can you point me to some documentation, or give me a hint on how should I do that. Thx -- View this message in context: http://apache-spark-developers-list.1001551.n3.nabble.com/Spark-LDA-model-reuse-with-new-set-of-data-tp16047.html Sent from the Apache Spark Developers List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org For additional commands, e-mail: dev-h...@spark.apache.org
