code: def get_param_baseline(problem_type, num_classes=None):
      if problem_type == BINARY:
          return get_param_binary_baseline()
      elif problem_type in [MULTICLASS, SOFTCLASS]:
          return get_param_multiclass_baseline(num_classes=num_classes)
      elif problem_type == REGRESSION:
          return get_param_regression_baseline()
      else:
          return get_param_binary_baseline()
  
imports: from autogluon.core.constants import BINARY, MULTICLASS, REGRESSION, SOFTCLASS
label_desc: Use image node_id 1 for calling a global function with example usage: get_param_baseline(problem_type, num_classes) and returns: get_param_binary_baseline, get_param_multiclass_baseline, get_param_regression_baseline, get_param_binary_baseline