code: def get_param_regression_baseline_custom():
      params = {
          "learning_rate": 0.03,
          "num_leaves": 128,
          "feature_fraction": 0.9,
          "min_data_in_leaf": 5,
      }
      return params
  
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 9 for calling a global function with example usage: get_param_regression_baseline_custom() and returns: params