Source code for algorithms.distribution.base

[docs]class Distribution(object):
    @property
    def dim(self):
        '''

        :return: dimension
        '''
        raise NotImplementedError

[docs]    def kl_sym(self, old_dist_info_vars, new_dist_info_vars):
        """
        Compute the symbolic KL divergence of two distributions
        """
        raise NotImplementedError

[docs]    def kl(self, old_dist_info, new_dist_info):
        """
        Compute the KL divergence of two distributions
        """
        raise NotImplementedError

[docs]    def likelihood_ratio_sym(self, x_var, old_dist_info_vars, new_dist_info_vars):
        raise NotImplementedError

[docs]    def entropy(self, dist_info):
        raise NotImplementedError

[docs]    def log_likelihood_sym(self, x_var, dist_info_vars):
        raise NotImplementedError

[docs]    def log_likelihood(self, xs, dist_info):
        raise NotImplementedError

    @property
    def dist_info_specs(self):
        raise NotImplementedError

    @property
    def dist_info_keys(self):
        return [k for k, _ in self.dist_info_specs]