code: def __init__(self, scoring_method=None):
      if scoring_method is None:
          scoring_method = "brier_score_loss"
  
      self.scoring_method = scoring_method
  
      if callable(scoring_method):
          self.scoring_func = scoring_method
      else:
          self.scoring_func = scoring_name_function_map[scoring_method]
  
imports: from collections import OrderedDict
  import math
  from auto_ml import utils
  import pandas
  from sklearn.ensemble import GradientBoostingRegressor, GradientBoostingClassifier
  from sklearn.metrics import mean_squared_error, make_scorer, brier_score_loss, accuracy_score, explained_variance_score, mean_absolute_error, median_absolute_error, r2_score, log_loss, roc_auc_score
  import numpy
  from tabulate import tabulate
label_desc: Use image node_id 1 to create a new ClassificationScorer object from inherited base classes: object with example: obj = ClassificationScorer(scoring_method)