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I Also Have A General Question. Most Frequently, We Work With Our Ml Models Not As A Single Script, But A Project - Multi Level Directory Of Files. How Do We Create Task Out Of It, Do We Type
Hi RoundMosquito25 ,
Are you running your project as part of a git repository? If so, you can just add Task.init()
call from the main script you are running (e.g. your train.py/main_file.py file) and all should be logged automatically.
for reporting https://clear.ml/docs/latest/docs/guides/reporting/artifacts , you can use your task object doing so:task = Task.init(project_name="My project", task_name="My task") ... task.upload_artifact( 'my artifact name', artifact_object=os.path.join( 'artifacts', 'my_artifact.jpg' ) )
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