Sandeep Pal created SPARK-11534:
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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) .
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