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 All, I'M Starting To Use Clearml, For Experiment Management On This Step. I'M Using Voxel51 (

Hi All,
I'm starting to use ClearML, for Experiment Management on this step. I'm using Voxel51 ( https://voxel51.com/ ) for managing and selecting my datasets, and I'm not sure how to add info about Voxel dataset into ClearML. Currently I'm using two scripts - download_voxel_dataset.py and train.py. I already added "2 magical lines" into train.py, but obviously my ClearML experiment has no info about my Voxel dataset. How to add it?

  
  
Posted one year ago
Votes Newest

Answers 4


Hi AttractiveShrimp45
Well, I would use the Task.connect to add a section with any configuration your are using. for example
Task.current_task().connect(my_dict_with_conf_for_data, name="dataset51")wdyt?

  
  
Posted one year ago

AgitatedDove14 thank you!
Do you mean in my train.py, after Task.init(..)?

  
  
Posted one year ago

Correct 🙂
btw: my_dict_with_conf_for_data can be any object, not just dict. It will list all the properties of the object (as long as they do not start with _)

  
  
Posted one year ago

Thank you again! I read about task.connect in https://clear.ml/docs/latest/docs/clearml_sdk/task_sdk and now I see how I can add that.

  
  
Posted one year ago
740 Views
4 Answers
one year ago
one year ago
Tags