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
Profile picture
ThoughtfulSeahorse27
Moderator
1 Question, 3 Answers
  Active since 19 July 2023
  Last activity one year ago

Reputation

0

Badges 1

3 × Eureka!
0 Votes
6 Answers
1K Views
0 Votes 6 Answers 1K Views
Hello all, I am trying to report a confusion matrix for my Output Model as follows: output_model.report_confusion_matrix(title = "Validation Confusion Matrix...
one year ago
0 Hello All, I Am Trying To Report A Confusion Matrix For My Output Model As Follows:

Reporting the confusion matrix AFTER updating the weights fixed the issue.

one year ago
0 Hello All, I Am Trying To Report A Confusion Matrix For My Output Model As Follows:
task = Task.init(project_name=params['project name'], 
                    task_name= "-".join([params['task name'], params['net']['model'], 'lr', str(params['opt']['lr'])]),
                    auto_connect_frameworks={"tensorflow":False,"tensorboard": False,'pytorch': False,})
    

output_model = OutputModel(task=task, 
                        framework="PyTorch", 
                        config_dict = params,
                        tags = [params['project name']] + params['tags'],)...
one year ago