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

Guys FYI:
params = task.get_parameters_as_dict()

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

Sweet! Will check it out and try to adopt 🙂

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)

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.

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

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

HandsomeCrow5 Ideas on improvement are always welcome 🙂