Thanks and sorry for the mix-up 😄 (also kudos for figuring it out!)

Did you try task.data.hyperparams or task.hyperparams ?

I run it already.

I was using APIClient inside of trains-agent and in trains-agent there is no v2.9. I think that's why I could not get hyperparams

can you try
print(task.data.hyperparams)instead of the last line?

When I print (task.data) there is no hyperparams in dictionary.

The api version is selected automatically, let me check that for you

Can you check the api version?
from trains.backend_api import Session print(Session.api_version)

You're quite right - we didn't update the API for the agent... I will discuss it with the guys - I guess we'll either update it there as well or decide to instruct people to use it primarily from trains ...

Hi MysteriousBee56 ,

Can you share a the code you are using with the APIClient?

Did you run it after Task.init() ?

TimelyPenguin76 It is 2.1, but 2.9 files are also exist. How can I update it?

MysteriousBee56 the API was changed, and what the server returns depends on the API version used by the API client. In you're using an older version, the server returns the data in the old style. Since you're using the new client version, the server returns the new format, where the hyper parameters are located under the hyperparams property and not the execution.parameters property.

0.16.0

from trains_agent import APIClient client = APIClient() task = client.tasks.get_by_id(task="5b5cbdc5e7bc4cd5ba39081b5b4a0423") print(task.execution.parameters)

Strange - I just tried the same with our demo server (which is also 0.16.0) and did receive the hyperparams as expected - can you please share the exact client calls you're making?

Please make sure you check the api version only after you initialized the API client

MysteriousBee56 are you using Trains Server 0.15.1 or 0.16.0?

AttributeError: 'Task' object has no attribute 'hyperparams'

You can try simply changing the import statement since the APIClient itself is identical, it just relies on the API schema available in the package (and trains is more updated than the agent in that regard)

In older versions it returns:
"parameters": { "batch_size": "64", "test_batch_size": "1000", "epochs": "1", "lr": "0.01", "momentum": "0.5", "no_cuda": "False", "seed": "1", "log_interval": "10", "save_model": "True" }But, now it just returns empty dict. I think it is because of separation of hyper-parameters section on UI.

Okey, I got it now. Thanks for help 🙂

Okey, know it is 2.9, I misunderstood you.

print(task.data.hyperparams) I tried this one

Oh, now I see the difference... I was using the APIClient provided in trains 🙂