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Saman .E edited this page Jul 9, 2023 · 2 revisions

Condensed Gradient Boosting

Condensed Gradient Boosting - Classifier


:C_GradientBoostingClassifier():

  Create an instance of the model.
  
  :__init__(*params):
    Parameters
      - Check the parameters in the documentation.
      
  :Methods:
	fit(X, y[, sample_weight, monitor])
	    - Fit the condensed gradient boosting model.
	get_params()
	    - Returns parameters the model
	predict(X)
	    - Retruns the predicted class labels for X
	predict_proba(X)
		- Retruns the probabilities class labels for X
     
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