def heldout_log_likelihood(self, S, F=None):
        R = self.compute_rate(S=S, F=F)
        return self._poisson_log_likelihood(S, R)

    # def heldout_log_likelihood(self, S, F=None):
    #     self.add_data(S, F=F)
    #     hll = self.log_likelihood(indices=-1)
    #     self.data_list.pop()
    #     return hll
Return version string.
dataset/ETHPy150Open slinderman/pyhawkes/pyhawkes/models.py/_DiscreteTimeNetworkHawkesModelBase.heldout_log_likelihood--crossover with--dataset/ETHPy150Open hayd/pep8radius/setup.py/version