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 Would Like To Configure Clearml-Server To Connect To An S3 Bucket In Order To Store Artefacts - I'Ve Taken A Look On This Page


Hi @<1687643893996195840:profile|RoundCat60>

I think the best way will be to configure a default output_uri to be used by all tasks:  None , under default_output_uri just write your bucket path ( None ).
When using S3/google storage/azure, you will also need to add your credentials in this section - None (s3 in this link),
and install clearml with storage requirements:
pip install clearml[s3] for S3
pip install clearml[azure] for azure
pip install clearml[gs] for google storage

  
  
Posted 3 years ago
80 Views
0 Answers
3 years ago
7 months ago