Monitor.py 文件源码

def estimate_event_probability(self, r, n, p):
        # Binomial Event Discriminator
        from_timestamp = self.min_timestamp + datetime.timedelta(days=365)
        to_timestamp = self.max_timestamp
        timestamps, values = self.load_monitor_data(from_timestamp, to_timestamp, None)
        values = np.array(values, dtype=float)
        prob = math.factorial(n) / (math.factorial(r) * math.factorial(n-r)) * math.pow(p, r) * (math.pow(1-p, n-r))