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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Hi There! I'M Trying To Understand How The


Hi SourSwallow36

  1. The same docker image is used for all three jobs, just because it is easier to manage and faster to download. The full code is available on the trains-server GitHub. If you want to spin the containers manually, check the docker-compose.yml on the main repo, it has all the commands there
  2. Fork the trains-server, commit the changes and don't forget to PR them ;)
  3. Elastic search is a database, we use it to log all the experiments outputs, console logs metrics etc. This is in addition to mongodb that is used to log the experiments environment, metadata etc.
  
  
Posted 3 years ago
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3 years ago
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