I'm trying to use store some data in clearml-data. Then I want to get it back elsewhere using dataset.get_local_copy. It returns a directory but I don't know...

Is it possible to add just a string or some other object as an artifact? if yes, then how?

Another question regarding a curiousity. Given a task is sent to an Agent to run and it has a specific version of tensorflow/pytorch, which requires a specif...

Is there a quicker way to abort all running experiments in a project? I have over a thousand running anonymous data tasks in a specific project and I want to...

Is there any way to stop all clearml agent workers on a machine or stop workers from the clearml ui?

Is there a direct way to get a model using its id like it works with Dataset.get?

Set GIT user/pass credentials (if user/pass are set, GIT protocol will be set to https) # leave blank for GIT SSH credentials (set force_git_ssh_protocol=tru...

I have a function that runs normally. Its job is to monitor a specific folder, and when I execute the script locally it works fine. When I make a TaskSchedul...

When i create clearml-dataset from the cli, I get an id. The same doesn't happen when I use the Python API. is there any way to get the ID in python?

This message is for the ClearML team. I've found a bug. I think it's reproducible. Basically, when dealing with bools inside args, I think what you guys do i...

I'm publishing the model artifact after the tensorflow model is saved. But in the UI, the download button is grayed out. And get_local_copy() doesn't seem to...

Another question, I have written a code that includes a task scheduler that calls a function. That function watches a folder and if there are sufficient imag...

I keep getting this error when trying to upload a dataset. Anyone has any idea what might be causing it?

I'll just ask this question again to get some fresh attention to this. Is there any way to run a pipeline step conditionally? E.g, under certain condition, e...

Once I set up a clear ml server on a machine. I understand I need an agent listening on a queue to run code. Do I absolutely have to have an agent and the gp...

In the configuration section of an experiment, I can see the args I passed via argparse. Is there any way to create other sections other than args and tf_define

I'm training a tensorflow model and saving it in the end. I looked at the OutputModel class. How do I connect the model I'm saving to the OutputModel?

I have a question. I'm struggling with setting up my own ClearML server. I think i've got it up and running but not sure how to send clearml-task to my own s...

When I upload and publish data to clearml-data, it says successful. Now when i try to get it using id, I get the following error. Error: __get_tasks() got mu...

I'd been following the clearml serving example on its Github repo here. It basically deploys a keras mnist model. The tutorial however ends once the model is...

I'm trying to understand how clearml serving works and trying to set it up. I have an agent listening to the serving queue and I'm trying to set up clearml s...

I've been using add_function_step in the Pipeline Controller as of yet. Now I wish to use add_step for one of the steps and pass in a Task ID. Only problem i...

Another simple query guys. I've installed clearml on ubuntu. However, it says command not found when i run any command with clearml . I feel like it might be...

In the case where I'm passing a schedule_fn to add_task in a TaskScheduler, how do I pass the function arguments?

Um, is there a way to delete an artifact from a task that is running?

Is this the write way to add a tag to an output model artifact of a task? torch.save(model, ' http://best.pt ') output_model = task.models['output'][-1] outp...

Is there a ClearML way to write a scheduler to watch a folder and publish a dataset when there are X number of files in that folder, or do I have to write a ...

Hi guys, needed a bit of clarification. Every 15 minutes, the scheduler prints, "Syncing scheduler, sleeping for 15 minutes until next sync". Can you guide m...

I'm on the machine with ClearML Server hosted. Is there any way to see datasets uploaded to ClearML Data without downloading them using ClearML Data?

Pipeline_Controller.py doesn't exist in repo, or atleast the link to it in the docs is dead in the simple pipeline example. Any help would be appreciated.