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From "Bryan Cutler (JIRA)" <j...@apache.org>
Subject [jira] [Created] (SPARK-19357) Parallel Model Evaluation for ML Pipeline Tuning
Date Wed, 25 Jan 2017 01:11:26 GMT
Bryan Cutler created SPARK-19357:
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             Summary: Parallel Model Evaluation for ML Pipeline Tuning
                 Key: SPARK-19357
                 URL: https://issues.apache.org/jira/browse/SPARK-19357
             Project: Spark
          Issue Type: Sub-task
          Components: ML
            Reporter: Bryan Cutler


This is a first step of the parent task of Optimizations for ML Pipeline Tuning to perform
model evaluation in parallel.  A simple approach is to naively evaluate with a possible parameter
to control the level of parallelism.  There are some concerns with this:

* excessive caching of datasets
* what to set as the default value for level of parallelism.  1 will evaluate all models in
serial, as is done currently. Higher values could lead to excessive caching.



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