[jira] [Assigned] (SPARK-11476) Incorrect function referred to in MLib Random data generation documentation
[ https://issues.apache.org/jira/browse/SPARK-11476?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-11476: Assignee: Apache Spark > Incorrect function referred to in MLib Random data generation documentation > --- > > Key: SPARK-11476 > URL: https://issues.apache.org/jira/browse/SPARK-11476 > Project: Spark > Issue Type: Documentation > Components: Documentation >Affects Versions: 1.5.1 >Reporter: Jason Blochowiak >Assignee: Apache Spark >Priority: Minor > Labels: documentation, easyfix > Original Estimate: 10m > Remaining Estimate: 10m > > http://spark.apache.org/docs/latest/mllib-statistics.html in the "Random data > generation", a comment in the example code says: > Generate a random double RDD that contains 1 million i.i.d. values drawn from > the standard normal distribution `N(0, 1)`, evenly distributed in 10 > partitions. > But it then calls normalRDD(), which does not do that - a call to > uniformRDD() with the same parameters would do what the comment claims. -- 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
[jira] [Assigned] (SPARK-11476) Incorrect function referred to in MLib Random data generation documentation
[ https://issues.apache.org/jira/browse/SPARK-11476?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-11476: Assignee: (was: Apache Spark) > Incorrect function referred to in MLib Random data generation documentation > --- > > Key: SPARK-11476 > URL: https://issues.apache.org/jira/browse/SPARK-11476 > Project: Spark > Issue Type: Documentation > Components: Documentation >Affects Versions: 1.5.1 >Reporter: Jason Blochowiak >Priority: Minor > Labels: documentation, easyfix > Original Estimate: 10m > Remaining Estimate: 10m > > http://spark.apache.org/docs/latest/mllib-statistics.html in the "Random data > generation", a comment in the example code says: > Generate a random double RDD that contains 1 million i.i.d. values drawn from > the standard normal distribution `N(0, 1)`, evenly distributed in 10 > partitions. > But it then calls normalRDD(), which does not do that - a call to > uniformRDD() with the same parameters would do what the comment claims. -- 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
