[jira] [Commented] (SPARK-32195) Standardize warning types and messages
[ https://issues.apache.org/jira/browse/SPARK-32195?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17289505#comment-17289505 ] RISHAV DUTTA commented on SPARK-32195: -- I am working on it. Can you takeup another issue? Thanks and regards Rishav Dutta > Standardize warning types and messages > -- > > Key: SPARK-32195 > URL: https://issues.apache.org/jira/browse/SPARK-32195 > Project: Spark > Issue Type: Improvement > Components: PySpark >Affects Versions: 3.1.0 >Reporter: Hyukjin Kwon >Assignee: Maciej Szymkiewicz >Priority: Major > > Currently PySpark uses a somewhat inconsistent warning type and message such > as UserWarning. We should standardize it. -- 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] [Commented] (SPARK-33586) BisectingKMeansModel save and load implementation in pyspark
[ https://issues.apache.org/jira/browse/SPARK-33586?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17255471#comment-17255471 ] RISHAV DUTTA commented on SPARK-33586: -- Can you point me to the location where these save and load functions are implemented? > BisectingKMeansModel save and load implementation in pyspark > > > Key: SPARK-33586 > URL: https://issues.apache.org/jira/browse/SPARK-33586 > Project: Spark > Issue Type: Improvement > Components: MLlib, PySpark >Affects Versions: 3.0.1 > Environment: Spark 3.0.1 with Hadoop 2.7 >Reporter: Iman Kermani >Priority: Minor > > BisectingKMeansModel save and load functions are implemented in Java and > Scala. > It would be nice if it was implemented in pyspark too. > Thanks in advance -- 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] [Commented] (SPARK-32195) Standardize warning types and messages
[ https://issues.apache.org/jira/browse/SPARK-32195?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17220556#comment-17220556 ] RISHAV DUTTA commented on SPARK-32195: -- [~pingsutw] I am already working on this. Can you take up another issue? > Standardize warning types and messages > -- > > Key: SPARK-32195 > URL: https://issues.apache.org/jira/browse/SPARK-32195 > Project: Spark > Issue Type: Improvement > Components: PySpark >Affects Versions: 3.1.0 >Reporter: Hyukjin Kwon >Priority: Major > > Currently PySpark uses a somewhat inconsistent warning type and message such > as UserWarning. We should standardize it. -- 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] [Commented] (SPARK-32194) Standardize exceptions in PySpark
[ https://issues.apache.org/jira/browse/SPARK-32194?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17220469#comment-17220469 ] RISHAV DUTTA commented on SPARK-32194: -- I would like to work on this.Please provide a guide on how to standardise exceptions > Standardize exceptions in PySpark > - > > Key: SPARK-32194 > URL: https://issues.apache.org/jira/browse/SPARK-32194 > Project: Spark > Issue Type: Improvement > Components: PySpark >Affects Versions: 3.1.0 >Reporter: Hyukjin Kwon >Priority: Major > > Currently, PySpark throws {{Exception}} or just {{RuntimeException}} in many > cases. We should standardize them. -- 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] [Commented] (SPARK-32195) Standardize warning types and messages
[ https://issues.apache.org/jira/browse/SPARK-32195?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17220468#comment-17220468 ] RISHAV DUTTA commented on SPARK-32195: -- Hi is there a guide on how to standardise the exceptions? > Standardize warning types and messages > -- > > Key: SPARK-32195 > URL: https://issues.apache.org/jira/browse/SPARK-32195 > Project: Spark > Issue Type: Improvement > Components: PySpark >Affects Versions: 3.1.0 >Reporter: Hyukjin Kwon >Priority: Major > > Currently PySpark uses a somewhat inconsistent warning type and message such > as UserWarning. We should standardize it. -- 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