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
Hello. I Have Several Questions Regarding The Pipeline Components Of Clearml. I Have Read The Docs, But I Still Don'T Have A Clear Picture Of The Interplay Between Them. As I Know A Little Bit Better Luigi And Kedro, I Will Try To Explain How Are They Rel


If the same Task is run with different parameters...

ShinyWhale52 sorry, I kind of missed that in the explanation
The pipeline will always* create a new copy (clone) of the original Task (step), then modify the step's inputs etc.
The idea is that you have the experiment management (read execution management) to create full transparancy into the pipelines and steps. Think of it as the missing part in a lot of pipelines platforms where after you executed the pipeline you need to further analyze the results compare to previous pipelines etc. Since ClearML has a built-in experiment manager we just use the same UI for that, meaning every Task in the pipeline is an "experiment" with full logging inputs outputs etc, meaning you can compare two pipeline steps and have the UI present the exact difference in configurations / inputs and results. It also allows you to manage the pipelines post execution, e.g. rename them move them into dedicated folders/projects, add tags etc. This means they are also searchable from the UI of programmatically 🙂

I think the comparison to Luigi (and Kedro) is a very interesting idea, since they present two different levels of automation.
It could be nice is to think of a scenario where they (Luigi / Kedro) could be combined with ClearML to offer the benefit of both worlds. wdyt?

  
  
Posted 3 years ago
98 Views
0 Answers
3 years ago
one year ago