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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Hello! I'M Trying To Make A Simple Eval.Py Script That Will Go Pull The Best Model Of A Given Experiment, Load It Locally And Evaluate It On Whatever Data I Give. Question 1: Is There A Standard Way Documented Somewhere To Do This? Question 2: I'M Loadin


Hi MistakenDragonfly51 , regarding your questions:
ClearML has a model repository built in. You can load an input model using InputModel module ( https://clear.ml/docs/latest/docs/references/sdk/model_inputmodel ). Also, you can fetch the models of an experiment using Task.get_models() - https://clear.ml/docs/latest/docs/references/sdk/task#get_models Can you elaborate on how this config looks in the UI when you view it?

  
  
Posted 2 years ago
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