class_docstr: Metric base class.
docstr: Call to compute the metric.
  
  :param y_true: An array of groud truth labels.
  :param y_pred: An array of predicted values.
  :return: Evaluation of the metric.
code: def __call__(self, y_true: np.array, y_pred: np.array) -> float:
      """
      Call to compute the metric.
  
      :param y_true: An array of groud truth labels.
      :param y_pred: An array of predicted values.
      :return: Evaluation of the metric.
      """
  
file_path: MatchZoo/matchzoo/engine/base_metric.py
imports: import abc
  import numpy
label_desc: Use image node_id 1 for calling the BaseMetric obj's underlying member method code with example usage: obj.__call__(y_true, y_pred) without return types