Examples: query, "exact match", wildcard*, wild?ard, wild*rd
Fuzzy search: cake~ (finds cakes, bake)
Term boost: "red velvet"^4, chocolate^2
Field grouping: tags:(+work -"fun-stuff")
Escaping: Escape characters +-&|!(){}[]^"~*?:\ with \, e.g. \+
Range search: properties.timestamp:[1587729413488 TO *] (inclusive), properties.title:{A TO Z}(excluding A and Z)
Combinations: chocolate AND vanilla, chocolate OR vanilla, (chocolate OR vanilla) NOT "vanilla pudding"
Field search: properties.title:"The Title" AND text
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

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
in the entrypoint script
And then we can (for example) log artifacts in other files?

Posted one year ago
Votes Newest


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' ) )

Posted one year ago