[
https://issues.apache.org/jira/browse/SPARK-38082?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-38082:
------------------------------------
Assignee: Apache Spark
> Update minimum numpy version
> ----------------------------
>
> Key: SPARK-38082
> URL: https://issues.apache.org/jira/browse/SPARK-38082
> Project: Spark
> Issue Type: Improvement
> Components: ML, MLlib, PySpark
> Affects Versions: 3.3.0
> Reporter: Maciej Szymkiewicz
> Assignee: Apache Spark
> Priority: Major
>
> Currently, we use set numpy version in {{extras_require}} to be {{>=1.7}}.
> However, 1.7 has been released almost 9 years ago and since then some methods
> that we use have been deprecated in favor of new additions and anew API
> ({{numpy.typing}}, that is of some interest to us, has been added.
> We should update minimum version requirement to one of the following
> - {{>=1.9.0}} ‒ this is minimum reasonable bound, that will allow us to
> replace deprecated {{tostring}} calls with {{tobytes}}.
> - {{>=1.15.0}} (released 2018-07-23) ‒ this is reasonable bound to match our
> minimum supported pandas version.
> - {{>=1.20.0}} (released 2021-01-30) ‒ to fully utilize numpy typing.
> The last one might be somewhat controversial, but 1.15 shouldn't require much
> discussion.
--
This message was sent by Atlassian Jira
(v8.20.1#820001)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
