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Joseph K. Bradley commented on SPARK-5012: ------------------------------------------ [~MeethuMathew], [~tgaloppo] makes a good point. It might actually be best to make a Python API for MultivariateGaussian first, and then to do this JIRA. (Since we don't want to require scipy currently, we can't use the existing scipy.stats.multivariate_normal class.) > Python API for Gaussian Mixture Model > ------------------------------------- > > Key: SPARK-5012 > URL: https://issues.apache.org/jira/browse/SPARK-5012 > Project: Spark > Issue Type: New Feature > Components: MLlib, PySpark > Reporter: Xiangrui Meng > Assignee: Meethu Mathew > > Add Python API for the Scala implementation of GMM. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org