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
Glad to see that you are already diving into the controllers emoji people:simple_smile (the stable release will be out early next week)
A bit of background on how the pipeline controller are designed:
All steps in the pipeline are experiments already registered in the system (i.e. you can see them in the UI). Regardless on how you created those experiments they have to be there prior to the pipeline launch. The pipeline itself can be executed on any machine (it does very little, and consumes almost no cpu), but the idea is to have it executed in the "services" queue so you do not have to have your machine up and running all the time. All steps the pipeline creates, are assumed to be executed using the trains-agent (i.e. experiments are cloned adjusted and enqueued into an execution queue).

  
  
Posted 4 years ago
182 Views
0 Answers
4 years ago
one year ago