SuccessfulKoala55 this actually doesn't work

` apiserver_conf = ConfigFactory.parse_file(API_SERVER_CONF_PATH)

POINT 1

conf_content = HOCONConverter.to_hocon(config=ConfigFactory.from_dict(apiserver_conf.as_plain_ordered_dict()),
compact=False,
level=0, indent=2)

apiserver_conf['auth']['fixed_users']['users'].append(
ConfigFactory.from_dict({'username': username, 'password': password, 'name': name}))

##...

can you provide an example?

Actually I removed the key pair, as you said it wasn't a must in the newer versions

the trains ones

Hi guys, just updated the issue - seems like the new release did fix the color scale, but I notice some data points are missing (the plot is missing data!)

see my comment on the issue
https://github.com/allegroai/clearml/issues/373#issuecomment-894756446

Cool, thats more than reasonable!

I assume that at some points in the execution, the client (where the task is running) is sending JSONs to the mongo service, and that is what we see in the web UI.
Since we are talking about a case where there is no internet available, maybe these could be dumped into files/stdout and let the user manually insert them.
The manual insertion UX could be something like a CLI copy-paste or and endpoint for files - but since your UX is so good ( 🙂 ) I'm sure you'll figure this part out better

I'm using iteration = 0 at the moment, and I "choose" the max and it shows as a column... But the column is not the scalar name (because it cuts it and puts the > sign to signal max).

For the sake of comparing and sorting, it makes sense to log a scalar with a given name without the iteration dimension

I did, but I only find task name, I'm looking to filter by the project

SuccessfulKoala55 seems like you got it spot on, it contains the entire repo, but no .git directory

So what can we do about it? All I want is to create templates for some tasks, so I can later execute them through a Pipelinecontroller

😅

I'll try

By the examples I figured out this ould appear as a scatter plot with X and Y axis and one point only.. Does it avoid that?

awesome 💪

I don't know, I'm the one asking the question 😄

` ClearML launch - launch any codebase on remote machine running clearml-agent
Creating new task

Error: requirements.txt not found [/home/elior/Dev/Projects/XXXXX/requirements.txt] Use --requirements or --packages `

How can I change the version of the Cleanup Service?

(it works now, with 20 GB)

Example code? I didn't see anywhere an example of filtering using project name

I'm using pipe.start_locally so I imagine I don't have to .wait() right?

So once I enqueue it is up? Docs says I can configure the queues that the auto scaler listens to in order to spin up instances, inside the auto scale task - I wanted to make sure that this config has nothing to do to where the auto scale task was enqueued to

AgitatedDove14

I never installed trains on this environment

👍

Manual model registration?

👍

?

I'll share some screenshots