code: def fit(self, X, y):
      y = to_categorical(y)
      super(GradientBoostingClassifier, self).fit(X, y)
  
file_path: ML-From-Scratch/mlfromscratch/supervised_learning/gradient_boosting.py
imports: from __future__ import division, print_function
  import numpy
  import progressbar
  from mlfromscratch.utils import train_test_split, standardize, to_categorical
  from mlfromscratch.utils import mean_squared_error, accuracy_score
  from mlfromscratch.deep_learning.loss_functions import SquareLoss, CrossEntropy
  from mlfromscratch.supervised_learning.decision_tree import RegressionTree
  from mlfromscratch.utils.misc import bar_widgets
label_desc: Use image node_id 2 for calling the GradientBoostingClassifier obj's underlying member method code with example usage: obj.fit(X, y) without return types