Machine learning

Hi Team,

I have created a vespa multinode stack and performed a load test for search query

1. search with single field with 60s timeout - median was consistent around 150 to 200ms
   endpoint : /search/
   http request : POST
   Body:
   {
   "yql":"select * from sources * where table contains "testing.vespa.search"
   }
2. search with more fields and conditions - median was 100+ secs which is very

Description

Implement a YOLO model and add it to the DJL model zoo

References

• https://arxiv.org/abs/1506.02640

How do we retrieve experiment metadata like tags and attrs, after it has been set using set_experiment. I am using the latest python client 0.14.6. Not able to read that info from the object returned by set_experiment.

If AM fails, TonyClient will hang for a while retrying to connect to AM. We should fail faster here.

14-09-2020 15:15:07 PDT mnist-avro-distributed INFO - 2020-09-14 22:15:07 INFO  Client:962 - Retrying connect to server: ltx1-hcl3578.grid.linkedin.com/10.150.55.156:31852. Already tried 44 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=50, sleepTime=1000 MILLISECONDS

In case of non-admin user, it should look disabled same as what we have on services listing page