[ https://issues.apache.org/jira/browse/SPARK-23859?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Joseph K. Bradley resolved SPARK-23859. --------------------------------------- Resolution: Fixed Fix Version/s: 2.4.0 Resolved with https://github.com/apache/spark/pull/20982 > Initial PR for Instrumentation improvements: UUID and logging levels > -------------------------------------------------------------------- > > Key: SPARK-23859 > URL: https://issues.apache.org/jira/browse/SPARK-23859 > Project: Spark > Issue Type: Sub-task > Components: ML > Affects Versions: 2.3.0 > Reporter: Joseph K. Bradley > Assignee: Weichen Xu > Priority: Major > Fix For: 2.4.0 > > > This is a subtask for an initial PR to improve MLlib's Instrumentation class > for logging. It will address a couple of issues and use the changes in > LogisticRegression as an example class. > Issues: > * The UUID is currently generated from an atomic integer. This is a problem > since the integer is reset whenever a persisted Estimator is loaded on a new > cluster. We should just use a random UUID to get a new UUID each time with > high probability. > * We use both Instrumentation and Logging to log stuff. Let's standardize > around Instrumentation in MLlib since it can associate logs with the > Estimator or Transformer which produced the logs (via a prefix with the > algorithm's name or UUID). -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org