I dont think that has to do anything with the value zero, the lines that should come out of 'mean' and 'median' have the value of None under quantile, but have a dre_0.5 assoxiated with them. those lines appear in the notebook and not in the ui

the output above is what the agent has as it seems... obviously on my machine I have it installed

AgitatedDove14 , I followed the instructions for updating the ClearML server, and the visualization stays the same

Anyway I checked the base task, and this is what it has in installed packages (seems like it doesn't list all the real packages in the environment)

I couldn't do it with clearml task as it was looking for a requirements file and I'm workgin with poetry

and also in the extra_vm_bash_script variables, I ahve them under export TRAINS_API_ACCESS_KEY and export TRAINS_API_SECRET_KEY

yeah but I see it gets enquequed to the default which I don't know what it is connected to

If I execute this task using python .....py will it execute the machine I executed it on?

inference table is a pandas dataframe

AgitatedDove14 is the scale a part of the problem? Because not only the colors are wrong, the scale does not appear

I only want to save it as a template so I can later call it in a pipeline

💪

same result

I'll check my phone

Even assuming it suspects me, why doesn't the captcha prove my innocence? Isn't it what it is for O_O

Happens on my Firefox aswell

Am I being punished for asking too much on 🤔

Switching to a VPN solves this, just saying 😕

AgitatedDove14 worked like a charm, thanks a lot!

But does it disable the agent? or will the tasks still wait for the agent to dequeue?

Yep what 😄

FriendlySquid61

Just updating, I still haven't touched this.... I did not consider the time it would take me to set up the auto scaling, so I must attend other issues now, I hope to get back to this soon and make it work

this is the df -h output

you want to see its contents?

SuccessfulKoala55

How did it come to this? I didn't configure anything, I'm using the trains AMI, with the suggested instance type

it is a model name

Nope

Could be, my message is that in general, the ability to attach a named scalar (without iteration/series dimension) to an experiment is valuable and basic when looking to track a metric over different experiments

That is not very informative