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 Am Using Aws Autoscalaer To Train Model. I Have A Fair Large Dataset(400G) And The Data Is Private So I Can'T Really Store It In Clearml Dataset. Everytime When I Launch A Job, It'S Going To Take Very Long Time To Download The Data From S3. Is There


Hi @<1597762318140182528:profile|EnchantingPenguin77> , in theory you could use EFS, but as far as I know the performance will not be very good, and using an AWS-native object storage (i.e. S3) in the same region should provide better performance.
An EBS volume can only be mapped to a single machine at a time, so when using the autoscaler, this can't be done (since a single volume can't be used for all machines the autoscaler spins)

  
  
Posted 7 months ago
65 Views
0 Answers
7 months ago
7 months ago