The last metrics

It's for collecting experiment results at the analysis stage.

does this work for multiple levels?

Thanks! Surprisingly, I didn't see this documented anywhere

CostlyOstrich36 Thanks, I tried that, but I get
"authenticated": False when using POST/login.supported_modes and this leads to a "Unauthorized (missing credentials)" response when using POST/login.tasks.get_all

Any clues how to authenticate myself?

I would like to get all tasks where the project name contains "inference/".
The way I did it is to first filter "get_projects()" then get the task.

For sure there is a way to do this in one get_tasks call?

Thanks 🙂

yes

I'm doing:
` from clearml.backend_api import Session
from clearml.backend_api.services import tasks, events, projects

... # get project_ids

session = Session()
res = session.send(tasks.GetAllRequest(project=project_ids)) this response object res is limited to 500 tasks, and no scroll_id ` is provided.

When I do tasks.get_all (which is not the RESTful API I don't have the option to filter by project name

SuccessfulKoala55
Thank you, but I still don't know how to authenticate my REST API session

This is how to start and use an authenticated session
https://clear.ml/docs/latest/docs/faq#:~:text=system_site_packages%20to%20true.-,ClearML%20API,-%23

Some tasks have so many models, it gets really messy without proper names 😅

This is the logging

Every experiment includes fitting a model 7 times (once per subject). For a given metric (say train_acc) I would like to group the series into one plot (which is the default setting - good). What I want is to manually provide a name to each series equal to the subject name (Subject 1, Subject 2, etc.)

Yes, thanks for your help! Now I need to find how to change the PL naming