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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, 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?

  
  
Posted one year ago
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Answers 6


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 one year ago

If you save it with joblib it should be automatically captured

  
  
Posted one year ago

Ok it works, but I don't see the labels in the model output, is there a way for me to use OutputModel to update those labels?

  
  
Posted one year ago

yep, will try, thanks!

  
  
Posted one year ago

I'll try, thanks!

  
  
Posted one year ago

https://github.com/allegroai/clearml/blob/master/examples/frameworks/scikit-learn/sklearn_joblib_example.py

This is an sklearn example, but AFAIK it should work also with XGB. Makes sense?

  
  
Posted one year ago
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6 Answers
one year ago
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