parameters: (self, sample_x, reconstructed_sample)
return_statement: return np.sqrt(np.sum(np.square(sample_x - reconstructed_sample)))
docstring: Calculate the euclidean distance of the sample_x and reconstructed_sample.
docstring_summary: Calculate the euclidean distance of the sample_x and reconstructed_sample.
docstring_tokens: Calculate the euclidean distance of the sample_x and reconstructed_sample .
function: def _calculate_euclidean_distance(self, sample_x, reconstructed_sample):
          """
          Calculate the euclidean distance of the sample_x and reconstructed_sample.
          """
          return np.sqrt(np.sum(np.square(sample_x - reconstructed_sample)))
function_tokens: def _calculate_euclidean_distance ( self , sample_x , reconstructed_sample ) : return np . sqrt ( np . sum ( np . square ( sample_x - reconstructed_sample ) ) )