code: def fit_predict(self, X, y, X_):
          
  
          self.fit(X, y)
          return self.predict(X_)
docs: Shortcut to `model.fit(X, y); return model.predict(X_)`.
          
          Parameters:
          -----------
          X : matrix, shape (n_samples, n_features)
          The samples, the train data.
  
          y : vector, shape (n_samples,)
          The target labels.
  
          X_ : matrix, shape (m_samples, m_features)
          The samples which labels to predict.
          
          Returns:
          --------
          y : vector, shape (m_samples,)
          The predicted labels.