Hi Imk, There is a number of libraries and scripts to convert text to libsvm format, if you just type " libsvm format converter" in search engine. Unfortunately I cannot recommend a specific one, except the one that is built in Weka. I use it for test purposes, and for big experiments it is easier to write your own converter. Format is simple enough. However, I hope that such tool will be implemented in Spark MLLib someday, because it will benefit from parallel processing.
Best regards, Alexander -----Original Message----- From: lmk [mailto:lakshmi.muralikrish...@gmail.com] Sent: Tuesday, June 24, 2014 3:41 PM To: u...@spark.incubator.apache.org Subject: RE: Prediction using Classification with text attributes in Apache Spark MLLib Hi Alexander, Thanks for your prompt response. Earlier I was executing this Prediction using Weka only. But now we are moving to a huge dataset and hence to Apache Spark MLLib. Is there any other way to convert to libSVM format? Or is there any other simpler algorithm that I can use in mllib? Thanks, lmk -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Prediction-using-Classification-with-text-attributes-in-Apache-Spark-MLLib-tp8166p8168.html Sent from the Apache Spark User List mailing list archive at Nabble.com.
