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
Using


Loading part from task B:
` def get_models_from_task(task: clearml.Task, model_artifact_substring: str = 'iter_') -> dict:
"""
Extract all models saved as artifacts with the specified substring

:param task: Task to fetch from
:param model_artifact_substring: Substring for recognizing models among artifacts
:return: Mapping between iter number and model instance
"""

# Extract models from task (models are named iter-XXX where XXX is the iteration number)
model_paths = {int(k.split('_')[-1].split('.')[0]): v.get_local_copy() for k, v in task.artifacts.items() if
               model_artifact_substring in k}

# Read from pickle
models = dict()
for iter_num, pickle_path in model_paths.items():
    with open(pickle_path, 'rb') as f:
        models[iter_num] = pickle.load(f)

return models `
  
  
Posted 3 years ago
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3 years ago
one year ago