Is the distributed SVD functionality exposed to Python yet? Seems it's only available to scala or java, unless I am missing something, looking for a pyspark equivalent to org.apache.spark.mllib.linalg.SingularValueDecomposition
In case it's not there yet, is there a way to make a wrapper to call from python into the corresponding java/scala code? The reason for using python instead of just directly scala is that I like to take advantage of the notebook interface for visualization. As a side, is there a inotebook like interface for the scala based REPL? Thanks Andreas -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/SVD-in-pyspark-tp21356.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
