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 We Want To Serve A Simple Rulebase Model. Think It As A .Py With With A Simple If...Else Function 1) How Do You Deliver A Rule Based Model. Or Do I Need To Train A Tensorflopytorch,Scikitlearn To Serve A Simple Rulebase Model. 2) How Do You Manage


Like Nathan said, custom engines are a TODO, but for your second question, you can add that API request in the model preprocessing, which is a function you can define yourself! It will be ran every time a request comes in and you can do whatever you want in it and change the incoming data however you wish 🙂

example: https://github.com/allegroai/clearml-serving/blob/main/examples/keras/preprocess.py

  
  
Posted 2 years ago
171 Views
0 Answers
2 years ago
one year ago