code: def get_default_parameters():
      params = {
          "boosting_type": "gbdt",
          "objective": "regression",
          "metric": {"l2", "auc"},
          "num_leaves": 31,
          "learning_rate": 0.05,
          "feature_fraction": 0.9,
          "bagging_fraction": 0.8,
          "bagging_freq": 5,
          "verbose": 0,
      }
      return params
  
file_path: nni/examples/trials/auto-gbdt/main.py
imports: import logging
  import lightgbm
  import pandas
  from sklearn.metrics import mean_squared_error
  import nni
label_desc: Use image node_id 1 for calling a global function with example usage: get_default_parameters() and returns: params