DistressedGoat23 you are correct, since at the end this become a plotly object the extra_layout is for general purpose layout, but this specific entry is next to the data. Bottom line, can you open a github issue, so we do not forget to fix? In the mean time you can use the general plotly reporting as SweetBadger76 suggested

And same behavior if I make the dependance explicty via the retunr of the first one

Wait, are you saying that in the code above, when you abort "step_a" , then "step_b" is executed ?

... grab the model artifacts for each, put them into the parent HPO model as its artifacts, and then go through the archive everything.

Nice. wouldn't it make more sense to "store" a link to the "winning" experiment. So you know how to reproduce it, and the set of HP that were chosen?
No that the model is bad, but how would I know how to reproduce it, or retrain when I have more data etc..

ConvolutedChicken69
basically the cleamrl-data needs to store an immutable copy of the delta changes per version, if the files are already uploaded, there is a good chance they could be modified...
So in order to make sure we you have a clean immutable copy, it will always upload the data (notice it also packages everything into a single zip file, so it is easy to manage).

DilapidatedDucks58 if you have so many parameters, why don't you use the
task.connect_configuration(dict)
It will put it in the artifacts, as an editable json alike string.

I mean if I enter my host machine ssh password it works. But we will disable password auth in future, so it’s not an option

To clarify, it should not allow users to ssh into the host machine (if you can do that this means you own it), it only allows users to SSH into the container the host machine spins, make sense ?

Yep I think you are correct, you should have had the same output as a local jupyter notebook, and it seems that in sagemaker studio it is not working 😞
Let me check something

I guess last followup question, is there a way to cap costs?

Scale tier ? (I know it is not per usage, but it is probably more than 15$ per user 🙂 )

Did you you set 'force_git_ssh_protocol: true '?
https://github.com/allegroai/clearml-agent/blob/249b51a31bee97d63f41c6d5542e657962008b68/docs/clearml.conf#L39

Whats the conda version you are using ?

Hi @<1545216070686609408:profile|EnthusiasticCow4>

will ClearML remove the corresponding folders and files on S3?

Yes and it will ask you for credentials as well. I think there is a way to configure it so that the backend has access to it (somehow) but this breaks the "federated" approach

ExcitedFish86

How do I set the config for this agent? Some options can be set through env vars but not all of them 

Hmm okay if you are running an agent inside a container and you want it to spin "sibling" containers, you need to se the following:
mount the docker socket to the container running the agent itself (as you did), basically adding " --privileged -v /var/run/docker.sock:/var/run/docker.sock " Allow the host to mount cache and configuration from the host into the siblin...

sure

Hi AdventurousRabbit79
In the wizard
https://github.com/allegroai/clearml/blob/1ab3710074cbfc6a19dd8a57078b10b31b2df31a/examples/services/aws-autoscaler/aws_autoscaler.py#L214

Add the S3 section like you would in the clearml.conf:
https://github.com/allegroai/clearml/blob/1ab3710074cbfc6a19dd8a57078b10b31b2df31a/docs/clearml.conf#L73

JitteryCoyote63 you mean? (notice no brackets)
task.update_requirements(".") Either pass a text or a list of lines:
The safest would be '\n'.join(all_req_lines)

error in my-package setup command:

Okay this seems like an error in the setup.py you have in the "mypackage" folder

Hi DrabCockroach54

... and no logs for python script.

what do you mean by "no logs" , is it clearml logs? or k8s pod logs ?

Oh, is your pipeline code a part of a git repository ?

Hi PricklyJellyfish35
My apologies this thread was forgotten 😞
What's the current status with the OmegaConf, ? (I'm not sure I understand what do mean by resolve=False)

Can you do it manually, i.e. checkout the same commit id, then take the uncommitted changes (you can copy paste it to diff.txt) then call git apply diff.txt ?

Specifically for this one, this is the auto generated docstring from the actual code, so PR to the
https://github.com/allegroai/clearml/blob/e53a76b713910adaf87578c69e86f8154d4ab4c1/clearml/logger.py#L152

the task is being Aborted rather than be in Draft. Am I missing something?

Yes, the reason is for not missing anything that you might have reported on it.
And usually execute_remotely will get the execution queue as a paramter (i.e. immdiatly launching the Task)
You can now (starting v1.0) enqueue an aborted Task so it should not make a difference, you can also reset the Task and edit it in the UI

you need to set

CLEARML_DEFAULT_BASE_SERVE_URL: 

So it knows how to access itself

Hmm interesting ...
Any chance you create an Issue on GitHub with this feature suggestion,
If we have some support we could accelerate the implementation

HighOtter69 I was able to change the color individually without an issue. What's your clearml-server ? are you using the community server ?

Can you test with the credentials also in the global section
None

key: "************"
secret: "********************"

Also what's the clearml python package version

Thanks StaleKangaroo85 bug is verified. Let me check to see where exactly is the bug.

Two points
Notice that x_labels should be the size of the histogram It seems that you have to pass the labels as well (otherwise you get the trace-0), so if you add labels=['random histogram'] and labels=['random histogram2'] , you'll get the correct legend.Anyhow I'll make sure we also fix it in code so it is automatically labels are [series] if not specified, thanks!

Ohh SubstantialElk6 please use agent RC3, (latest RC is somewhat broken sorry, we will pull it out)

where people can do @'s for experiments/projects/tasks and even comparisons ...

ohhh I like that! for me this throws me directly to Slack integration .
I think my main question is, "is the discussion ephemeral?" in other words, is this an on going discussion that later no one will care about, or are we creating some "knowledge base" that we want to later share?

Also, by "address bar at the top", i assume you mean address url right?

yes... apologies for the phrasing, it was w...

VexedCat68 I think this is the issue described here:
https://github.com/allegroai/clearml/issues/491
Can you test with the latest RC:
pip install clearml==1.1.5rc1