code: def correlation_model(prediction, fm):
      
      (_, r_x) = calc_resize_factor(prediction, fm.image_size)
      fdm = compute_fdm(fm, scale_factor = r_x)
      return np.corrcoef(fdm.flatten(), prediction.flatten())[0,1]
docs: wraps numpy.corrcoef functionality for model evaluation
  
      input:
          prediction: 2D Matrix
              the model salience map
          fm: fixmat
              Used to compute a FDM to which the prediction is compared.