code: def tpr(y_true, y_pred, round=True):
      
      y_true, y_pred = _mask_value_nan(y_true, y_pred)
      if round:
          y_true = np.round(y_true)
          y_pred = np.round(y_pred)
      return skm.recall_score(y_true, y_pred)
docs: True positive rate `tp / (tp + fn)`