parameters: (self)
return_statement: return self.value / self.weight
docstring: This function returns the mean accuracy (float or numpy.array) for all accumulated minibatches.
  
          Returns: 
              float or numpy.array: mean accuracy for all accumulated minibatches.
docstring_summary: This function returns the mean accuracy (float or numpy.array) for all accumulated minibatches.
docstring_tokens: This function returns the mean accuracy ( float or numpy . array ) for all accumulated minibatches .
function: def eval(self):
          """
          This function returns the mean accuracy (float or numpy.array) for all accumulated minibatches.
  
          Returns: 
              float or numpy.array: mean accuracy for all accumulated minibatches.
  
          """
          if self.weight == 0:
              raise ValueError("There is no data in Accuracy Metrics. \
                  Please check layers.accuracy output has added to Accuracy.")
          return self.value / self.weight
function_tokens: def eval ( self ) : if self . weight == 0 : raise ValueError ( "There is no data in Accuracy Metrics. \
                  Please check layers.accuracy output has added to Accuracy." ) return self . value / self . weight