Seth Hendrickson created SPARK-18253: ----------------------------------------
Summary: ML Instrumentation logging requires too much manual implementation Key: SPARK-18253 URL: https://issues.apache.org/jira/browse/SPARK-18253 Project: Spark Issue Type: Improvement Components: ML Reporter: Seth Hendrickson Priority: Minor [SPARK-14567|https://issues.apache.org/jira/browse/SPARK-14567] introduced an {{Instrumentation}} class for standardized logging of ML training sessions. Right now, we manually log individual params for each algorithm, partly because we don't want to log all params since some params can be huge in size, and we could flood the logs. We should find a more sustainable way of logging params in ML algos. The current approach does not seem sustainable. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org