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'M Trying To Get An Understanding Of How


Hi GiddyTurkey39 ,

When you say trains agent, are you referring to the trains agent command ...

I mean running the trains-agent daemon on a machine. This means you have a daemon pulling jobs from the execution queue and executing them (either in virtual environment, or inside a docker)
You can read more about https://github.com/allegroai/trains-agent and https://allegro.ai/docs/concepts_arch/concepts_arch/

Is it sufficient to queue the experiments

Yes there is no need for additional "cloning". Obviously if you want to re-run the experiment, you can clone it and enqueue it again.

  
  
Posted 4 years ago
157 Views
0 Answers
4 years ago
one year ago
Tags