code: def weighted_mean_squared_error(eval_df, _builtin_metrics):
      return mean_squared_error(
          eval_df["prediction"],
          eval_df["target"],
          sample_weight=1 / eval_df["prediction"].values,
      )
  
label_desc: Use image node_id 1 for calling a global function with example usage: weighted_mean_squared_error(eval_df, _builtin_metrics) and returns: mean_squared_error