[jira] [Created] (SPARK-23674) Add Spark ML Listener for Tracking ML Pipeline Status

["Mingjie Tang (JIRA)" <ji...@apache.org>]

Mingjie Tang created SPARK-23674:
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             Summary: 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


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 mode created, saved and load  
 # ML model training status monitoring  



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