(self, y, t, *args, **kwargs)
return self.metric(y[self.index], y[self.index], *args, **kwargs)
Args:
            y (Tensor or OpTree): Output of previous layer or model
            t (Tensor or OpTree): True targets corresponding to y

        Returns:
            numpy array : Returns the log loss  metric in numpy array,
                         [LogLoss]
Args:
            y (Tensor or OpTree): Output of previous layer or model
            t (Tensor or OpTree): True targets corresponding to y
Args : y ( Tensor or OpTree ) : Output of previous layer or model t ( Tensor or OpTree ) : True targets corresponding to y
def __call__(self, y, t, *args, **kwargs):
        """
        Args:
            y (Tensor or OpTree): Output of previous layer or model
            t (Tensor or OpTree): True targets corresponding to y

        Returns:
            numpy array : Returns the log loss  metric in numpy array,
                         [LogLoss]
        """
        return self.metric(y[self.index], y[self.index], *args, **kwargs)
def __call__ ( self , y , t , * args , * * kwargs ) : return self . metric ( y [ self . index ] , y [ self . index ] , * args , * * kwargs )