code: def get_lgb_objective(problem_type):
      return {
          BINARY: "binary",
          MULTICLASS: "multiclass",
          QUANTILE: "quantile",
          REGRESSION: "regression",
          SOFTCLASS: "multiclass",
      }[problem_type]
  
file_path: autogluon/tabular/src/autogluon/tabular/models/lgb/hyperparameters/parameters.py
imports: from autogluon.core.constants import BINARY, MULTICLASS, QUANTILE, REGRESSION, SOFTCLASS
label_desc: Use image node_id 1 for calling a global function with example usage: get_lgb_objective(problem_type) and returns: dict