[jira] [Assigned] (SPARK-31306) rand() function documentation suggests an inclusive upper bound of 1.0
[ https://issues.apache.org/jira/browse/SPARK-31306?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Bryan Cutler reassigned SPARK-31306: Assignee: Ben > rand() function documentation suggests an inclusive upper bound of 1.0 > -- > > Key: SPARK-31306 > URL: https://issues.apache.org/jira/browse/SPARK-31306 > Project: Spark > Issue Type: Documentation > Components: PySpark, R, Spark Core >Affects Versions: 2.4.5, 3.0.0 >Reporter: Ben >Assignee: Ben >Priority: Major > > The rand() function in PySpark, Spark, and R is documented as drawing from > U[0.0, 1.0]. This suggests an inclusive upper bound, and can be confusing > (i.e for a distribution written as `X ~ U(a, b)`, x can be a or b, so writing > `U[0.0, 1.0]` suggests the value returned could include 1.0). The function > itself uses Rand(), which is [documented |#L71] as having a result in the > range [0, 1). -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-31306) rand() function documentation suggests an inclusive upper bound of 1.0
[ https://issues.apache.org/jira/browse/SPARK-31306?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Bryan Cutler reassigned SPARK-31306: Assignee: Bryan Cutler > rand() function documentation suggests an inclusive upper bound of 1.0 > -- > > Key: SPARK-31306 > URL: https://issues.apache.org/jira/browse/SPARK-31306 > Project: Spark > Issue Type: Documentation > Components: PySpark, R, Spark Core >Affects Versions: 2.4.5, 3.0.0 >Reporter: Ben >Assignee: Bryan Cutler >Priority: Major > > The rand() function in PySpark, Spark, and R is documented as drawing from > U[0.0, 1.0]. This suggests an inclusive upper bound, and can be confusing > (i.e for a distribution written as `X ~ U(a, b)`, x can be a or b, so writing > `U[0.0, 1.0]` suggests the value returned could include 1.0). The function > itself uses Rand(), which is [documented |#L71] as having a result in the > range [0, 1). -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-31306) rand() function documentation suggests an inclusive upper bound of 1.0
[ https://issues.apache.org/jira/browse/SPARK-31306?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Bryan Cutler reassigned SPARK-31306: Assignee: (was: Bryan Cutler) > rand() function documentation suggests an inclusive upper bound of 1.0 > -- > > Key: SPARK-31306 > URL: https://issues.apache.org/jira/browse/SPARK-31306 > Project: Spark > Issue Type: Documentation > Components: PySpark, R, Spark Core >Affects Versions: 2.4.5, 3.0.0 >Reporter: Ben >Priority: Major > > The rand() function in PySpark, Spark, and R is documented as drawing from > U[0.0, 1.0]. This suggests an inclusive upper bound, and can be confusing > (i.e for a distribution written as `X ~ U(a, b)`, x can be a or b, so writing > `U[0.0, 1.0]` suggests the value returned could include 1.0). The function > itself uses Rand(), which is [documented |#L71] as having a result in the > range [0, 1). -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
