Joseph K. Bradley created SPARK-23859:
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Summary: 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
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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