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Auto tuning feature enhancements (#379)
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Auto tuning feature enhancements:

Tuning auto switch off when:
        * parameter converges
        * the maximum number of tuning iterations is reached
        * no gain in cost function
Remembers and returns the best parameter set when:
        * tuning is switched off
        * no new parameter suggestion exists for the job
        * execution has failed and a retry is attempted
Parameters being tune now attain only discrete values defined by the step size
Bug fixes
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arpang authored and akshayrai committed May 21, 2018
1 parent 861c333 commit d3fb6ba
Showing 23 changed files with 644 additions and 489 deletions.
2 changes: 1 addition & 1 deletion app-conf/SchedulerConf.xml
Original file line number Diff line number Diff line change
@@ -30,7 +30,7 @@
<classname>com.linkedin.drelephant.schedulers.AzkabanScheduler</classname>
<params>
<!--<exception_enabled>true</exception_enabled>-->
<!--<exception_class>com.linkedin.drelephant.exceptions.azkaban.AzkabanWorkflowClient</exception_class>-->
<!--<workflow_client>com.linkedin.drelephant.exceptions.azkaban.AzkabanWorkflowClient</workflow_client>-->
<!--<private_key>/home/key/private_key</private_key>-->
<!--<userame>elephant</userame>-->
<!--<password></password>-->
198 changes: 0 additions & 198 deletions app/com/linkedin/drelephant/tuning/APIFitnessComputeUtil.java

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