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
What'S The Proper Way To Build A Pipeline?

What's the proper way to build a pipeline?
In ClearML there are several approaches to build a pipeline. I am about to make a pipeline for the following scenario.
1st task downloads a data and registers a dataset in ClearML. Result would be a dataset_id. 2nd task trains a model based on that dataset. Result would be a model. 3rd task takes trained model and converts it to tf light format. How can I pack all that tasks inside one pipeline nicely?

Posted one year ago
Votes Newest


Hi GentleSwallow91
I think this would be a good start:

Posted one year ago
1 Answer
one year ago
one year ago
Similar posts