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).

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