I think it would be beneficial if the niche usage of the APIs have their dedicated examples. For example, each framework example demonstrates the automatic m...

Ok, but it must be somewhere in the bst class

Once I have a model successfully saved in ClearML, how can I instantiate it in a notebook? I have this for artifacts: def get_artifact(task_id, artifact_name...

(the payload is not the correct form, can that be a problem? I'd rather figure this out before I recreate the rather convoluted data structure that needs to ...

How can I remove a service with clearml-serving?

What happens if the Task.init doesn't happen in the same py file as the "data science" stuff I have a list of classes that do the coding and I initialise the...

How can I figure out from the dataset object which task it created? Or better: I have a task_id how can I figure out which datasets were created by this expe...

{"detail":"Error processing request: Error: Failed loading preprocess code for 'py_code_best_model': [Errno 2] No such file or directory: '/root/.clearml/cac...

https://github.com/allegroai/clearml/blob/master/examples/frameworks/xgboost/xgboost_metrics.py I ran this code and get these charts

Where does clearml pick up these metrics from the code? When I run the same code in a notebook I can't figure out how to extract these numbers from the train...

Hi, I am new to ClearML: When I run an experiment in a shell (having a single line of Task definition) I am getting this error: clearml.Repository Detection ...

How does the Preprocess class exactly work? I need to pass information to it but it's _ init _ function doesn't have any parameters. How can I load an artifa...

I am completely stuck with the serving. I did the custom example. I see the endpoint in clearml-serving -id ... model list and it replies {"detail":"Error pr...

How do I think about tasks/task_name-s? Do I see right if I run the same task with the same name, it overwrites the previous run? Is it possible to fail if t...

I deployed a model with: clearml-serving \ --id 875de894b62144a7949e471532728809 \ model add \ --engine "xgboost" \ --endpoint "best_model" \ --preprocess "t...

I saw that ClearML overrides the random number generator is it possible to control this behaviour?