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
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How To Do Continuous Training With Trains? Can Someone Share Examples Or Docs To Get Started With Continuous Learning.


For classification it's F1 score but for other task it maybe and I don't think that's problem. we just have to log it right?

Correct 🙂

Give me few days, I will work on your sugestions and then let you know if I am not able to do this

Sounds good!
BTW:
previous_tasks = Task.get_tasks(task_filter={'tags': 'best'}) local_model_file = previous_tasks[0].artifcats['my_model'].get_local_copy()

  
  
Posted 3 years ago
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3 years ago
one year ago