code: def get_default_param(problem_type, framework, num_classes=None):
      if problem_type == BINARY:
          return get_param_binary(framework)
      elif problem_type == MULTICLASS:
          return get_param_multiclass(
              framework=framework, num_classes=num_classes
          )
      elif problem_type == REGRESSION:
          return get_param_regression(framework)
      elif problem_type == QUANTILE:
          return get_param_quantile(framework)
      else:
          return get_param_binary(framework)
  
file_path: autogluon/tabular/src/autogluon/tabular/models/tabular_nn/hyperparameters/parameters.py
imports: from autogluon.core.constants import BINARY, MULTICLASS, QUANTILE, REGRESSION
label_desc: Use image node_id 4 for calling a global function with example usage: get_default_param(problem_type, framework, num_classes) and returns: get_param_binary, get_param_multiclass, get_param_regression, get_param_quantile, get_param_binary