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 Guys, Is There A Way, Analogous To Using


Hi CostlyOstrich36 , thanks for answering. We are using compute instances through the Machine Learning Studio in Azure. They basically work by spinning up an instance, loading a docker-image and executing a specific script in a folder that you upload along with the docker-image. Nothing is persisted between runs and there is no clear notion of a "user" (when thinking of ~/.clearml.conf at least).

SuccessfulKoala55 yeah, sorry, should have mentioned that our storage is also Azure (blob storage). I couldn't find the documentation for task.setup_upload() online, but the current version of the source code states that

Setup upload options (currently only S3 is supported)

as you mentioned. I'm using v1.5.0.

  
  
Posted one year ago
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one year ago
one year ago