class_docstr: Use the normalized joint histogram as a distribution model
class_docstr_tok: ["Use","the","normalized","joint","histogram","as","a","distribution","model"]
code: def loss(self, H):
      return dist2loss(H / nonzero(self.npoints(H)))
  
imports: import numpy
  from scipy.ndimage import gaussian_filter
  from ._registration import _L1_moments
label_desc: Use image node_id 1 for calling the MutualInformation obj's underlying member method code with example usage: obj.loss(H) and returns: dist2loss