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Posted to user@spark.apache.org by jatinpreet <ja...@gmail.com> on 2014/10/15 18:57:46 UTC

Serialize/deserialize Naive Bayes model and index files

Hi,

I am trying to persist the files generated as a result of Naive bayes
training with MLlib. These comprise of the model file, label index(own
class) and term dictionary(own class). I need to save them on an HDFS
location and then deserialize when needed for prediction.

How can I do the same with Spark? Also, I have the option of saving these
instances in HBase in binary form. Which approach makes more sense?

Thanks,
Jatin





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