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

Reply via email to