code: def predict(self, X):
          
          raw_predictions = self.decision_function(X)
          class_predictions = self.binarizer.inverse_transform(raw_predictions)
  
          return class_predictions
docs: Predict values using the model
  
          Parameters
          ----------
          X : {array-like, sparse matrix} of shape [n_samples, n_features]
  
          Returns
          -------
          C : numpy array of shape [n_samples, n_outputs]
              Predicted values.