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, I Encountered A Few Problems:


  1. Artifacts and models will be uploaded to the output URI, debug images are uploaded to the default file server. It can be changed via the Logger.
  2. Hmm is this like a configuration file?
    You can do.
    local_text_file = task.connect_configuration('filenotingit.txt')
    Then open the 'local_text_file' it will create a local copy of the data in runtime, and the content will be stored on the Task itself.
  3. This is how the agent installs the python packages, but if the docker already contactains them, then they will be used so not reinstalled. This gives you the flexibility of changing version or packages but still have all the base stuff preinstalled.
  4. No, it will keep the same file name, that means that if the file name is fixed you are also overwriting the file on you file server
  
  
Posted 3 years ago
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3 years ago
one year ago
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