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, I Am Trying To Save A Trained Xgbclassifier Model As Outputmodel, Is There An Example Somewhere Of How To Do That? It Has No Weights To Save, Should I Just Pickle It And Save The Results?

Hi! So I looked at the example code and you don't have to use joblib 😄
If you do:
model.save_model('xgb.02.model')It will work 🙂 Sorry for the confusion!
To upload labels, after task.init call
task.set_model_label_enumeration({'label':0,'another_label':1})The models will inherit this enumeration 🙂
Makes sense?

Posted 2 years ago
0 Answers
2 years ago
one year ago