serving.py 文件源码

def observed_perplexity(self, counts):
        """Compute perplexity = exp(entropy) of observed variables.

        Perplexity is an information theoretic measure of the number of
        clusters or observed classes. Perplexity is a real number in the range
        [1, dim[v]], where dim[v] is the number of categories in an observed
        categorical variable or 2 for an ordinal variable.

        Args:
            counts: A [V]-shaped array of multinomial counts.

        Returns:
            A [V]-shaped numpy array of perplexity.
        """
        result = self._ensemble[0].observed_perplexity(counts)
        for server in self._ensemble[1:]:
            result += server.observed_perplexity(counts)
        result /= len(self._ensemble)
        return result