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
Hi, I Have A Question Regarding Storing Datasets And Models In A S3 Bucket. Is There Any Specific Way To Upload Metadata And Models To S3 Bucket From Clearml?

Hi, I have a question regarding storing datasets and models in a s3 bucket. Is there any specific way to upload metadata and models to s3 bucket from clearml?

  
  
Posted one year ago
Votes Newest

Answers 4


like some details about attributes, dataset size, formats. here when we define output_uri in task_init in which format the model would be saved? CostlyOstrich36

  
  
Posted one year ago

like some details about attributes, dataset size, formats.

Can you elaborate on how exactly you'd be saving this data?

here when we define output_uri in task_init in which format the model would be saved?

It depends on the framework I guess 🙂

  
  
Posted one year ago

Basically the model versions, training results, the things that are saved in mongodb, can we get those data to a s3 bucket in any format? CostlyOstrich36

  
  
Posted one year ago

Hi GrittyHawk31 , can you elaborate on what you mean by metadata? Regarding models you can achieve this by defining the following in Task.init(output_uri="<S3_BUCKET>")

  
  
Posted one year ago