Hi, For Word2Vec in Mllib, when I use a large number of partitions (e.g. 256), my vectors turn out to be very large. I am looking for a representation that is between (-1, 1) like all other Word2Vec implementations (e.g. Gensim, google's Word2Vec).
E.g. scala> var m = model.transform("SOMETHING") m: org.apache.spark.mllib.linalg.Vector = [1.61478590965271,-13.385428428649902,-19.518991470336914,12.05420970916748,-6.141440391540527...] Thanks so much! -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Mllib-Word2Vec-vector-representations-are-very-high-in-value-tp25702.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org