AgitatedDove14 doesnt work with clear ml version as well. The X axis is shown as int numbers intead of timestamp

AgitatedDove14 that is what i Have in the notebook

maybe its because im still using trains server?

AgitatedDove14 instead of using the clear ml

but I cannot compare between them :A, what do you think about that? AgitatedDove14

I can see the plots correctly 🙂 thanks

can you send me a screen shot from the ui?

AgitatedDove14

can i see the relevant git commit?

where x is timestamp

` fig = go.Figure(data=go.Scatter(x=x, y=y, mode='markers'))

logger = cloned_task.get_logger()
logger.report_plotly(title="pnl", series="expected", iteration=0, figure=fig)
fig.show() `

thanks!!

1 seconds

ohh cool even with report_scatter2d?

how can I use without an agent?

With init its working well, I can see the results in the UI, and with create it does nothing

I'm working with cloned task, can it be related to that?

ExcitedReindeer30 Thanks Nir! That makes a lot of sense. In the example that I saw, I see that the parent task is only used as a template, which looks wierd at the UI cause it should not really be running..

Where its enqueuing everything

I have a for loop running

what should I do?

what's an agent? it may be a powerful gpu that runs the task?

and what does it mean when a task status is "draft"

Cool!

SuccessfulKoala55 So what is the purpose of task cloning? Its mostly useful for agents?

yes

https://github.com/allegroai/clearml/blob/a29a655a6ea3424906392bafb8d2fab292397f3a/examples/automation/manual_random_param_search_example.py

this one

I have a task which is running and cloned tasks, they all finished running but they are still pending