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 ----- Novice Big Data Programmer -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Serialize-deserialize-Naive-Bayes-model-and-index-files-tp16513.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
