Any thoughts SuccessfulKoala55 ?

Not really - it will just show the string. A preview would be more like a low-res version of the uploaded image or similar.

Yes

The idea is that the features would be copied/accessed by the server, so we can transition slowly and not use the available storage manager for data monitoring

On it! Should I include the additional user filters described above?

https://github.com/allegroai/clearml/pull/533 🙂

Don't even need to specify json=... 😉 Thanks!

I can scroll sideways but if I open any of the comparison items, I pretty much can only see one experiment's values

A follow up question (instead of opening a new thread), is there a way I could signal some files/directories to be copied to the execute_remotely task?

Where do I import this APIClient from AgitatedDove14 ? I meanwhile edited it directly in mongo, but editing a db directly on a Friday is a big nono

The logs are on the bucket, yes.
The default file server is also set to s3://ip:9000/clearml

Bump SuccessfulKoala55 ?

It's of course not an MLOps issue so I understand it's not high on the priority list, but would be kinda cool to just have a simple view presenting the content of users.get_all 😄

IIRC, get_local_copy() downloads a local copy and returns the path to the downloaded file. So you might be interested in e.g.
local_csv = pd.read_csv(a_task.artifacts['train_data'].get_local_copy())
With the models, you're looking for get_weights() . It acts the same as get_local_copy() , so it returns a path.

EDIT: I think also get_local_copy() for a model should work 👍

Sorry, not necessarily RBAC (although that is tempting 😉 ), but for now was just wondering if an average joe user has access to see the list of "registered users"?

I guess following the example https://github.com/allegroai/clearml/blob/master/examples/advanced/execute_remotely_example.py , it's not clear to me how the server has access to the data loaders location when it hits execute_remotely

So no direct page to see e.g. how many people have registered and/or if someone accidentally made two (or more) accounts, or somewhere to just delete users, etc

SuccessfulKoala55 CostlyOstrich36 actually it is the import statement, just finally got around to the traceback:

` File "/home/.../ccmlp/configs/mlops.py", line 4, in <module>
from clearml import Task
File "/home/.../.venv/lib/python3.8/site-packages/clearml/init.py", line 4, in <module>
from .task import Task
File "/home/.../.venv/lib/python3.8/site-packages/clearml/task.py", line 31, in <module>
from .backend_interface.metrics import Metrics
File "/home/......

If I set the following:
"extra_clearml_conf": "sdk.aws.s3.credentials = [\n{\nhost: 'ip:9000'\nkey: 'xxx'\nsecret: 'xxx'\nmultipart: false\nsecure: false\n},\n{\nhost: 'ip2:9000'\nkey: 'xxx'\nsecret: 'xxx'\nmultipart: false\nsecure: false\n}\n]"I run into a weird furl error:
ValueError: Invalid port '9000''.

Yup! Seems to have been some brief unavailability for some reason

That will come at a later stage

I see, okay that already clarifies some stuff, I'll dig a bit more into this then! Thanks!

2. I guess? 🤔 I mean the same filter option one has for e.g. tags in the table view. In the "all experiments" project I think it would make sense for one to be able to select the projects of interest, or even filter for textual matches.

3. Sorry I meant the cards indeed :)

Also (sorry for all of these!) - could be nice to have a direct "task comparison" link in the UI somewhere, that would open a comparison with no tasks and the user can add them manually using the "add experiments" button. :)

So basically what I'm looking for and what I have now is something like the following:
(Local) I have a well-defined aws_autoscaler.yaml that is used to run the AWS autoscaler. That same autoscaler is also run with CLEARML_CONFIG_FILE=.... (Remotely) The autoscaler launches, listens to the predefined queue, and is able to launch instances as needed. I would run a remote execution task object that's appended to the autoscaler queue. The autoscaler picks it up, launches a new instanc...

Or the above;)

Either one would be nice to have. I kinda like the instant search option, but could live with an ENTER to search.

I opened this meanwhile - https://github.com/allegroai/clearml-server/issues/138

Generally, it would also be good if the pop-up presented some hints about what went wrong with fetching the experiments. Here, I know the pattern is incomplete and invalid. A less advanced user might not understand what's up.

So kind of the ability to have more artifact types in "Artifacts" tab, other than Other and OutputModels , etc

No I don't this at all

None, they're unusable for us.