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Apache Spark commented on SPARK-23674: -------------------------------------- User 'HyukjinKwon' has created a pull request for this issue: https://github.com/apache/spark/pull/23263 > Add Spark ML Listener for Tracking ML Pipeline Status > ----------------------------------------------------- > > Key: SPARK-23674 > URL: https://issues.apache.org/jira/browse/SPARK-23674 > Project: Spark > Issue Type: Improvement > Components: ML > Affects Versions: 2.3.0 > Reporter: Mingjie Tang > Priority: Major > > Currently, Spark provides status monitoring for different components of > Spark, like spark history server, streaming listener, sql listener and etc. > The use case would be (1) front UI to track the status of training coverage > rate during iteration, then DS can understand how the job converge when > training, like K-means, Logistic and other linear regression model. (2) > tracking the data lineage for the input and output of training data. > In this proposal, we hope to provide Spark ML pipeline listener to track the > status of Spark ML pipeline status includes: > # ML pipeline create and saved > # ML pipeline model created, saved and load > # ML model training status monitoring -- 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