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
Unanswered
Hello Everyone, I'M Working On A Flexible Machine Learning Pipeline Using Clearml, Covering Data Retrieval, Preprocessing, Training, And Evaluation. I Want To Add Hyperparameter Optimization (Hpo) As A Pipeline Step That Could Optimize The Preprocessing A


Hi @<1730396272990359552:profile|CluelessMouse37> , I would suggest reviewing the relevant docs regarding pipelines & HPO and then running said examples before integrating them 🙂

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I think if you run all examples and understand what the code is doing, sewing the two together should be fairly streightforward

  
  
Posted one month ago
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one month ago
one month ago