code: def mean_prediction(y_true, y_pred):
      """Compute mean value for prediction.
  
      :param y_true: True labels.
      :type y_true: numpy.ndarray
      :param y_pred: Predicted values.
      :type y_pred: numpy.ndarray
      :return: Mean Prediction.
      :rtype: float
      """
      return np.mean(y_pred)
  
file_path: responsible-ai-toolbox/erroranalysis/erroranalysis/_internal/metrics.py
imports: import numpy
  from sklearn.metrics import accuracy_score, confusion_matrix, f1_score, mean_absolute_error, mean_squared_error, median_absolute_error, precision_score, r2_score, recall_score
  from erroranalysis._internal.constants import Metrics, ModelTask, f1_metrics, precision_metrics, recall_metrics
label_desc: Use image node_id 11 for calling a global function with example usage: mean_prediction(y_true, y_pred) and returns: np