[
https://issues.apache.org/jira/browse/SPARK-31306?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Ben updated SPARK-31306:
------------------------
Description: 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
`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). (was:
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 `U[0.0, 1.0]`
suggests the value returned could include 1.0).
The function uses Rand(), which is [documented |#L71] as having a result in the
range [0, 1).)
> 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 `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: [email protected]
For additional commands, e-mail: [email protected]
