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
Hi, Is There Any Example Which Demonstrates A Typical Workflow Of Model Handling? Especially, I Would Like To Know How To Specify And Download A Model, Which Is Trained In Former Experiments. Thanks!

GrumpyPenguin23 Hi, thanks for your instruction!

Putting some metadata into the model sounds nice.
I was exactly wondering how to take care of labels and being afraid of handling them as a dataset even when inferring.

  
  
Posted 3 years ago
pic
More
SoggyFrog26
0 × 1
Report
151 Views
0 Answers
3 years ago
one year ago