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
I Assume I Can Ask A Question Here. The Clearml Orchestrator Looks Interesting. But The Website Suggests That K8S Is Required. We Have A Linux Training Box (Lambdabox) Where We Want To Run Training. Can We Place The Clearml Orchestrator Agent On The M


Hi RobustFlamingo1

The ClearML Orchestrator looks interesting. But the website suggests that K8S is required

No k8s is not a must, only an option 🙂

We have a Linux training box (LambdaBox) where we want to run training. Can we place the ClearML orchestrator agent on the machine without needing K8S?

Yes should be quite easy.
If you intent to use containers, make sure you have docker installed.
Then just pip install clearml-agent and configure it:
https://clear.ml/docs/latest/docs/getting_started/mlops/mlops_first_steps
wdyt?

  
  
Posted 2 years ago
143 Views
0 Answers
2 years ago
one year ago
Tags