Is there a vital reason why you want to keep the two accounts separate when they run on the same machine?
Also, what if you try aligning all the cache folders for both configuration files to use the same folders?
Hi @<1655744373268156416:profile|StickyShrimp60> , happy to hear you're enjoying ClearML 🙂
To address your points:
Is there any way to lock setting of scalar plots? Especially, I have scalars that are easiest comparable on log scale, but that setting is reverted to default linear scale with any update of the comparison (e.g. adding/removing experiments to the comparison).
I would suggest opening a GitHub feature request for this
Are there plans of implementing a simple feature t...
I see. Sounds like a good idea! Please open a GitHub feature request 🙂
Hi I think it's stated in Slack integration docs:
None
Cant you paste the output until the stuck point? Sounds very strange. Does it work when it's not enqueued? Also, what version of clearml-agent & server are you on?
On what OS are you on?
Regarding your question - I can't recall for sure. I think it still creates a virtualenv
Interesting idea. From the looks of it even by searching for the task id manually archived experiments aren't fetched. Maybe open a github issue for this, really cool feature idea 🙂
Or are you just trying to run clearml-agent?
SparklingHedgehong28 , have you tried upgrading to pro? That is the easiest way to evaluate 🙂
Are you running on your own server or the community server?
Doesn't look like anything critical 🙂
Hi @<1590514584836378624:profile|AmiableSeaturtle81> , I think these are the env variables you're looking for:
CLEARML_AGENT_SKIP_PYTHON_ENV_INSTALL
CLEARML_AGENT_SKIP_PIP_VENV_INSTALL
CLEARML_AGENT_FORCE_CODE_DIR
None
Hi, can you add a log of the run? Also what version of ClearML Agent are you using
What is the dataset URL you see in the UI? If you go to the dataset, there should be a view to the dataset link
You've hardcoded salary.csv into your code
At least from the log of the agent failure
It looks like you can't access the file due to permissions. And in the agent run there is no such file. How are you storing it and how are you trying to fetch it in code during the agent run?
Click on the 'Task information ->' at the bottom of the right window. This will take you to the task object in the system. Then go to artifacts.
Hi @<1587977852635058176:profile|FloppyTurtle49> , yes same would be applicable. Regarding communication: It is one way communication from the agent to the clearml server done directly to the API server - basically what is defined in clearml.conf
Hope this clears things up
My guess is it's failing to auto-detect the fileserver. The UI doesn't take info from the docker-compose so I think you'll need to add it in manually.
May I ask why you've changed the ports from the default mappings?
I think you need to configure api.files_server in ~clearml.conf as your s3 bucket
Hi UpsetTurkey67 ,
Is this what you're looking for?
https://clear.ml/docs/latest/docs/references/sdk/trigger#add_model_trigger
@<1542316991337992192:profile|AverageMoth57> , here you go - None
It seems like a networking issue on your side. ClearML isn't blocking anything. Most likely unrelated to connection speed but to DNS or something related.
What if you connect using your phone hotspot or another provider?
Hi!
I think the example here should help you.
https://github.com/allegroai/clearml/blob/master/examples/reporting/pandas_reporting.py#L19
Together with this
https://github.com/allegroai/clearml/blob/master/examples/reporting/artifacts.py
Tell me if it helped 🙂
Hi @<1523711002288328704:profile|YummyLion54> , it hasn't been added to the PRO yet 🙂
Hi @<1617693654191706112:profile|HelpfulMosquito8> , can you please elaborate? Did you self deploy on Redshift? I don't think it really matters. What is the workflow you're trying to achieve?