Sandeep Pal created SPARK-11534: ----------------------------------- Summary: MLLib uniformVectorRDD wrong data distribution Key: SPARK-11534 URL: https://issues.apache.org/jira/browse/SPARK-11534 Project: Spark Issue Type: Bug Components: MLlib Affects Versions: 1.5.1 Environment: Spark 1.6.0-SNAPSHOT standalone on centos 6.6 Single node VM machine, 8 cores 16 GB memory Reporter: Sandeep Pal
According to the definition of uniformVectorRDD, it is supposed to generate the uniformly distributed data with mean ~0.0 and standard deviation ~1. [Definition: Generates an RDD comprised of i.i.d. samples from the uniform distribution U(0.0, 1.0).] But it is generating the data with mean ~0.5 and sd of ~0.28. PS: uniformRDD is working correctly as per description with uniform distribution U(0.0, 1.0) . -- 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