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Hi Everyone!
I'M Currently Using The Free Hosted Version (Open Source) Of Clearml.
I'M Mainly Using Clearml-Data At To Manage Our Datasets At The Moment, And I'Ve Already Hit The Limit For The Free Metrics Storage.
Since We Didn'T Store A Lot Of Metrics (
The config values are not yet documented, but they all default to 10
(except for max_file_size) and represent the number of images/tables/videos etc. that are reported as previews to the dataset. Setting them to 0 disables previewing
To clear the configurations, you should use something like Dataset.list_datasets
to get all the dataset IDs, then something like:
from clearml import Task
id_ = "229f14fe0cb942708c9c5feb412a7ffe"
task = Task.get_task(id_)
original_status = task.status
print(original_status)
if original_status in ["completed", "failed", "aborted"]:
task.mark_started(force=True)
task._set_configuration(name="Dataset Content", config_text="")
if original_status == "completed":
task.mark_completed(force=True)
elif original_status == "failed":
task.mark_failed(force=True)
elif original_status == "aborted":
task.mark_stopped(force=True)
to clear the configuration
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Answers
7 months ago
7 months ago