@<1673501397007470592:profile|RelievedDuck3> , I think you can solve this by going to /login instead of /dashboard in the URL
Can you try running it via agent without the docker?
Please filter by 'XHR' and see if there are any errors (any return codes that aren't 200)
Hi ShallowGoldfish8 , can you elaborate please? You mean train with different data?
Hi DangerousDragonfly8 , I believe this is supported. You just need to have the object already with links embedded inside
Hi @<1722061354531033088:profile|TroubledCamel37> , what do you see in the apiserver logs?
Hi @<1543766544847212544:profile|SorePelican79> , can you provide a sample of how this looks? The suggested method is the one in the examples:
None
SwankySeaurchin41 , I think you don't need to connect pipelines. Think of pipeline as a DAG execution. You can build it anyway you want 🙂
GiganticTurtle0 let me check up on that for you then, thanks for the info 🙂
Can you give a small snippet to play with? Just to understand, when you run on local machine everything works fine? What do you do with Google Colab?
Also can you please provide a log of only the apiserver and also one from the elastic container
Very similar to a task, a project has also a unique identifier - the ID (Although I think project names are also unique)
You can get the project ID either from UI (If you go to a specific project, the project ID will be in the url) or from the api as documented in:
https://clear.ml/docs/latest/docs/references/api/projects#post-projectsget_all
or from the sdk as documented here:
https://clear.ml/docs/latest/docs/references/sdk/task#taskget_project_id
Plug that project ID into the filter ...
It's a fairly new feature, basically you can take any plot/graph/debug sample in the system and embed it into the report which is edited in markdown. Mouse over and graph or plot and you'll see an orange button that will allow you to embed the plot
Hi @<1543766544847212544:profile|SorePelican79> , please see here - None
There are a few examples of what you're looking for
There is a CLI for working with datasets but nothing specific for task artifacts I think, only the SDK. What is your use case?
Hi @<1523701132025663488:profile|SlimyElephant79> , to answer your questions:
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Does ClearML store any dataset outside of this S3 storage (and local storage) for preview or compression purposes?Some preview data might be stored inside mongodb (if it's a table for example). This of course can be disabled so no data/previews are exposed to the ClearML backend.
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Are any data packets related to model or data versioning routed through the API server? (We are pretty confident it shouldn't, but j...
MelancholyElk85 if you're using add_function_step()
it has a 'docker' parameter. You can read more here:
https://clear.ml/docs/latest/docs/references/sdk/automation_controller_pipelinecontroller#add_function_step
There is an optimizer in ClearML already.
Here is an example:
https://github.com/allegroai/clearml/tree/master/examples/optimization/hyper-parameter-optimization
and some docs 🙂
https://clear.ml/docs/latest/docs/references/sdk/hpo_optimization_hyperparameteroptimizer
I would advise using ClearML 😄
I'm reading on task.set_credentials at the moment. What exactly are you trying to do?
Hi @<1852158596431745024:profile|HappyRaccoon38> , what did you do? What steps did you take?
Hi @<1580367711848894464:profile|ApprehensiveRaven81> , you mean you'd like to have some web interface to interact with the API?
I'm not sure. Maybe AgitatedDove14 , might have an idea
Did you copy the example to a different repository and ran it from there? I think you need to commit your code for new files
Hi @<1689084163396734976:profile|DistinctGoldfish85> , can you please add the full configuration of the HPO app you ran? Also, are you self hosted or using the community server?