pyclustering/nnet/som.py
def awards(self):
        """!
        @brief Return amount of captured objects by each neuron after training.

        @return (list) Amount of captured objects by each neuron.

        @see train()
        
        """
        
        if self.__ccore_som_pointer is not None:
            self._award = wrapper.som_get_awards(self.__ccore_som_pointer)
        
        return self._award
def awards(self):
        """!
        @brief Return amount of captured objects by each neuron after training.

        @return (list) Amount of captured objects by each neuron.

        @see train()
        
        """
        
        if self.__ccore_som_pointer is not None:
            self._award = wrapper.som_get_awards(self.__ccore_som_pointer)
        
        return self._award
def awards ( self ) : if self . __ccore_som_pointer is not None : self . _award = wrapper . som_get_awards ( self . __ccore_som_pointer ) return self . _award
!
        @brief Return amount of captured objects by each neuron after training.

        @return (list) Amount of captured objects by each neuron.

        @see train()
!