HandsomeCrow5 Ideas on improvement are always welcome 🙂

Sweet! Will check it out and try to adopt 🙂

HandsomeCrow5 I see, my bad.
BTW: Did you see this one?
https://github.com/allegroai/trains/blob/master/examples/optimization/hyper-parameter-optimization/hyper_parameter_optimizer.py
And the helper classes here: https://github.com/allegroai/trains/tree/master/trains/automation

AgitatedDove14 I was trying to get all tasks that hold a specific value/pattern in a hyperparameter. e.g. - after performing grid-search, get all training tasks with a specific learning rate

Thanks SuccessfulKoala55 , dropping irrelevant fields did improve the response time.

and of course:
task.set_parameters_as_dict(params)

Guys FYI:
params = task.get_parameters_as_dict()

HandsomeCrow5 you beat my by a minute 🙂
Note, however, that there's no need to include any of the other fields in the "fields" section as it will only slow the server when searching in these fields as well.

Note that in case your hyper-parameter name contains . , $ , or % , they should be escaped using %2E , %24 and %% , respectively

Hi HandsomeCrow5 ,
This should be possible with {"_any_": {"pattern": "<hyper-param-value>", "fields": ["execution.parameters.<hyper-parameter-name>"]}}

found a reasonable solution. I had to specify http://execution.parameters.my _hyperparameter in the fields list.