I doubled checked the credentials in the configurations, and they have full EC2 access

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

the ones in the export are like you said

so it is not defined

no need to do it again, I ahve all the settings in place, I'm sure it's not a settings thing

So just to correct myself and sum up, the credentials for AWS are only in the cloud_credentials_*

I'll try to debug this and updat

Yep, the warnings no longer appear

I'll try to put it again

I have them in two different places, once under Hyperparameters -> General

Okay, I'll try that

how do I run this wizard? is this wizard train's or aws's?

I set it to true and restarted by agent

sudo curl https://raw.githubusercontent.com/allegroai/trains-server/master/docker-compose.yml -o /opt/trains/docker-compose.yml

Also being able to separate their configurations files would be good (maybe there is and I don't know?)

😄

I need code access, not UI access

If this includes scheduling through pipelines, in my opinion there should be an option to execute a pipeline without an agent. Sometimes for development I just want to execute a pipeline on my local machine just as I would a task...

First of all I wasn't aware that was an option - but I think it's preferable to be able to do it through the command line. Because I'm developing the pipeline to be executed remotely, but for debugging I run it locally.

Using what you showed I can obviously write it, and delete it once it is ready, and rewrite it when I'm debugging or adding features - but I think DX-wise it would be nicer to be able to trigger this functionality through the command line

Exactly

UptightCoyote42 - How are these images avaialble to all agents? Do you host them on Docker hub?

but can't right now

Now I see the watermarks are 2gb

I'll check the version tomorrow, about the current_task call, I tried before and after - same result

my bad, I didn't look at the upgrade section

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

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

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

I re-executed the experiemnt, nothing changes

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

AgitatedDove14 this is stillnot fixed for me, even though I upgraded to server 1.1... Does the client require an update as well? Should I open an issue about this?