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
Hi, This Seems Really Simple, But I Could Not Find Any Clear Reference To It Elsewhere. So, What Is The Right Way Of Manually Logging A Model Checkpoint, I Did Not Find Any Sort Of

Hi, this seems really simple, but I could not find any clear reference to it elsewhere. So, what is the right way of manually logging a model checkpoint, I did not find any sort of report_checkpoint / report_model method on the logger.

Posted 3 years ago
Votes Newest

Answers 3

Hi SkinnyPanda43
Yes, I think you are right the documentation might be missing it. I'll make sure they know it 🙂
In the meantime :

Posted 3 years ago

Thank you, now I am getting AttributeError: 'DummyModel' object has no attribute 'model_design' when calling task.update_output_model("best_model.onnx") . I checked the could I thought that it was related to the model not having a config defined, tried to set it with task.set_model_config(cfg.model) but still getting the error.

Posted 3 years ago

While I'll look into it, you can do:
from clearml import OutputModel output_model = OutputModel() output_model.update_weights("best_model.onnx")

Posted 3 years ago