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
Hello! I'Ve Been Doing A Ton Of Research On Different Mlops Tools And It Seems Like Clearml Is The Only Tool Available That Offers Every Single Feature We Need And Also Has An Open Source Self-Hosted Option. So We'Ve Been Considering Bending Over Backward

Hello! I've been doing a ton of research on different MLOps tools and it seems like ClearML is the only tool available that offers every single feature we need and also has an open source self-hosted option. So we've been considering bending over backwards to set it up!

The issue is...without going into too much detail, it is not possible for me to pull the existing docker images referenced in the docker-compose.yml for setting up the clearml-server. It is a long shot but for experimentation purposes I was wondering if it would be feasible to build each dependent image from source/yum repository? Or if there is any guide for this?

For reference these are the images I see are required:

Posted one month ago
Votes Newest

Answers 2

If you re facing problem with getting elastic search image, then I'd recommend using vpn to download it and then push it to your own docker-hub repo (in case you don't have vpn on server machine)

Posted one month ago

Hi @<1599574259540168704:profile|RoundToad29> , each respective clearml repository in GitHub container a Dockerfile you can use to build the docker image, once you have them, you can simply use your own images in the docker compose file

Posted one month ago
2 Answers
one month ago
one month ago