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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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yep, will try, thanks!

  
  
Posted one year ago

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

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

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

If you save it with joblib it should be automatically captured

  
  
Posted one year ago
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