def _poisson_log_likelihood(self, S, R):
        return (S * np.log(R) - R*self.dt).sum()
Based on the default dstat column names create a new table indexed by a timstamp col
dataset/ETHPy150Open slinderman/pyhawkes/pyhawkes/models.py/_DiscreteTimeNetworkHawkesModelBase._poisson_log_likelihood--crossover with--dataset/ETHPy150Open cloudera/kudu-examples/python/dstat-kudu/kudu_dstat.py/open_or_create_table