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
Answered
Also, For Selecting A Subset Of Experiments To Compare, It Looks Like Neptune Currently Has A More Advanced Solution (

Also, for selecting a subset of experiments to compare, it looks like Neptune currently has a more advanced solution ( https://docs.neptune.ai/learn-about-neptune/nql.html ). Is there some kind of roadmap for the project so I could understand if something like this is planned?

  
  
Posted 4 years ago
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Answers 3


You can already sort and filter experiments based on any hyper parameter or metric that the experiment reports, there is no need for any custom language query. Also all created filter/sorted table can be shared exactly as they are, so you can create leaderboards and share specific filters. You can also use the search bar in order to filter based on experiment name / comment. Tags will be added soon as well 🙂

Example of custom columns is here (the screen grab is a bit old, now there is also the option of adding hyper parameters):
https://github.com/allegroai/trains/issues/12

  
  
Posted 4 years ago

Thanks. That is a good idea to have custom columns, and tags will be very welcome!

  
  
Posted 4 years ago

Also. finally the columns will be movable and re sizable, I can't wait for the next version ;)

  
  
Posted 4 years ago
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4 years ago
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