code: def generate_config_train_params(overrides={}):
      config_train_params = {
          "quantiles": None,
          "learning_rate": None,
          "epochs": None,
          "batch_size": None,
          "loss_func": "SmoothL1Loss",
          "optimizer": "AdamW",
      }
      for key, value in overrides.items():
          config_train_params[key] = value
      return config_train_params
  
imports: import pytest
  from neuralprophet.configure import Train
label_desc: Use image node_id 1 for calling a global function with example usage: generate_config_train_params(overrides) and returns: config_train_params