code: def reflective_correlation_coefficient(y_true, y_pred, axis=None):
      """Reflective variant of Pearson's product moment correlation coefficient
      where the predictions are not centered around their mean values.
  
      Parameters
      ----------
      y_true : array of shape (n_samples, )
          Ground truth (correct) target values.
      y_pred : array of shape (n_samples, )
          Estimated target values.
  
      Returns
      -------
      float: reflective correlation coefficient
      """
      return T.sum(y_true * y_pred, axis=axis) / T.sqrt(
          T.sum(y_true**2, axis=axis) * T.sum(y_pred**2, axis=axis)
      )
  
file_path: tensorly/tensorly/metrics/regression.py
imports: from ..None import backend
label_desc: Use image node_id 4 for calling a global function with example usage: reflective_correlation_coefficient(y_true, y_pred, axis) and returns: unknown