XGBClassifier num_class is invalid

Question

I am using XGBClassifier (in xgboost) for a multi-class classification. Upon executing the classifier, I am receiving an error stating:

unexpected keyword a         


        

Answer 1

In the Sklearn XGB API you do not need to specify the num_class parameter explicitly. In case the target has more than 2 levels, XGBClassifier automatically switches to multiclass classification mode.

evals_result = {}
self.classes_ = list(np.unique(y))
self.n_classes_ = len(self.classes_)

 if self.n_classes_ > 2:
 # Switch to using a multiclass objective in the underlying XGB instance
 xgb_options["objective"] = "multi:softprob"
 xgb_options['num_class'] = self.n_classes_

Check the complete source code here: https://github.com/dmlc/xgboost/blob/master/python-package/xgboost/sklearn.py