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
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Clearml Pipelines Can Be Build From Tasks, Functions, And Decorated Functions, According To The Examples In


Heh, my bad, the term "user" is very much ingrained in our internal way of working. You can think of it as basically any technically-inclined person in your team or company.

Indeed the options in the WebUI are too limited for our use case, so we're developed "apps" that take a yaml configuration file and build a matching pipeline.
With that, our users do not need to code directly, and we can offer much more fine control over the pipeline.

As for the imports, what I meant is that I encountered an issue with pigar (I think that's the name of the package) - a package that ClearML uses to infer the requirements for each component automagically.
In our case, we have a monorepo with a common namespace for all the modules. Pigar fails to properly identify those, so our Pipeline Generator© captures the packages available at runtime and forces all components to have the same requirements.
This results in a bit slower startup time, of course.

  
  
Posted one year ago
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one year ago
one year ago