I showed you this phenomenon in the UI photos in the other thread

https://github.com/allegroai/trains/blob/master/trains/backend_config/config.py

Thanks Alon

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

Okay, looks interesting but actually there is no final task, this is the pipeline layout

There are many ohter packages in my environment which are not listed

The only way to change it is to convert apiserver_conf to a dictionary object ( as_plain_ordered_dict() ) and edit it

I understand it starts locally... what does it mean to run the steps locally?

why does it deplete so fast?

essentially editing apiserver.conf section auth.fixed_users.users

I think you are talking about separate problems - the "WARNING DIFF IS TOO LARGE" is only a UI issue, that you can't see hte diff in the UI - correct me if I'm wrong with this

Maria seems to be saying that the execution FAILS when she has uncomitted changes, which is not the expected behavior - am I right maria?

If the credentials don't have access tothe autoscale service obviously it won't work

I'm not, just want to be very precise an consice about them when I do ask... but bear with me, its coming 🙂

but I don't really know

I was here, but I can't find info for the questions I mentioned

How do I get from the node to the task object?

Not sure I understand, if i run pipe.start_locally(run_pipeline_steps_locally=True|False) what is the difference betwee ntrue and false? assuming I want to execute locally

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?

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

awesome 💪

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

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:

see gif:

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

So the scale will also appear?

Yes, I have a metric I want to monitor so I will be able to sort my experiments by it. It is logged in this manner

logger.report_scalar(title='Mean Top 4 Accuracy', series=ARGS.model, iteration=0, value=results['top_4_acc'].mean())
When looking at my dashboard this is how it looks

the ability to exexute without an agent i was just talking about thia functionality the other day in the community channel