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533 × Eureka!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 have them in two different places, once under Hyperparameters -> General
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?)
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
UptightCoyote42 - How are these images avaialble to all agents? Do you host them on Docker hub?
Now I see the watermarks are 2gb
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?
my current version of the images used:
I'd go for
` from trains.utilities.pyhocon import ConfigFactory
config = ConfigFactory.parse_file(CONF_FILE_PATH) `
Legit, if you have a cached_file (i.e. exists and accessible), you can return it to the caller
I agree, so shouldn't it be if cached_file: return cached_file
instead of if not cached_file: return cached_file
BTW is the if not cached_file: return cached_file
is legit or a bug?