Given a stream of integers and a window size, calculate the moving average of all integers in the sliding window. For example,MovingAverage m = new MovingAverage(3);m.next(1) = 1m.next(10) = (1 + 10) / 2m.next(3) = (1 + 10 + 3) / 3m.next(5) = (10 + 3…

Given a stream of integers and a window size, calculate the moving average of all integers in the sliding window. For example,MovingAverage m = new MovingAverage(3);m.next(1) = 1m.next(10) = (1 + 10) / 2m.next(3) = (1 + 10 + 3) / 3m.next(5) = (10 + 3…

原题链接在这里:https://leetcode.com/problems/moving-average-from-data-stream/ 题目: Given a stream of integers and a window size, calculate the moving average of all integers in the sliding window. For example, MovingAverage m = new MovingAverage(3); m.next(1…

原来国外有个源码(TechnicalAnalysisEngine src 1.25)内部对EMA的计算是: var copyInputValues = input.ToList(); for (int i = period; i < copyInputValues.Count; i++) { var resultValue = (copyInputValues[i] - returnValues.Last()) * multiplier + returnValues.Last(); return…

Given a stream of integers and a window size, calculate the moving average of all integers in the sliding window. For example, MovingAverage m = new MovingAverage(3); m.next(1) = 1 m.next(10) = (1 + 10) / 2 m.next(3) = (1 + 10 + 3) / 3 m.next(5) = (1…

1. 用滑动平均估计局部均值 滑动平均(exponential moving average),或者叫做指数加权平均(exponentially weighted moving average),可以用来估计变量的局部均值,使得变量的更新与一段时间内的历史取值有关. 变量$v$在$t$时刻记为$v_t$,$\theta_t$为变量$v$在$t$时刻的取值,即在不使用滑动平均模型时$v_t = \theta_t$,在使用滑动平均模型后,$v_t$的更新公式如下: \begin{equation} …

Given a stream of integers and a window size, calculate the moving average of all integers in the sliding window. For example,MovingAverage m = new MovingAverage(3);m.next(1) = 1m.next(10) = (1 + 10) / 2m.next(3) = (1 + 10 + 3) / 3m.next(5) = (10 + 3…

一般在保存模型参数的时候,都会保存一份moving average,是取了不同迭代次数模型的移动平均,移动平均后的模型往往在性能上会比最后一次迭代保存的模型要好一些. tensorflow-models项目中tutorials下cifar中相关的代码写的有点问题,在这写下我自己的做法: 1.构建训练模型时,添加如下代码 variable_averages = tf.train.ExponentialMovingAverage(0.999, global_step) variables_avera…

Given a stream of integers and a window size, calculate the moving average of all integers in the sliding window. For example, MovingAverage m = new MovingAverage(3); m.next(1) = 1 m.next(10) = (1 + 10) / 2 m.next(3) = (1 + 10 + 3) / 3 m.next(5) = (1…

Given a stream of integers and a window size, calculate the moving average of all integers in the sliding window. For example, MovingAverage m = new MovingAverage(3); m.next(1) = 1 m.next(10) = (1 + 10) / 2 m.next(3) = (1 + 10 + 3) / 3 m.next(5) = (1…