我这样实现了高斯函数; public static float getGaussian(float x, float mean, float stdDev) { float v1 = 1F / (stdDev * (float)Math.Sqrt(2 * Math.PI)); flo 浏览56提问于2020-10-01得票数 2 2回答 在计算Logistic损失函数的值和梯度时避免数值溢出 、、、 我目前正在尝试实现一个机器学习算法,...
余弦函数atan():反正切函数acot():反余切函数exp():以e为底的指数函数log():以e为底的对数函数log10():以10为底的对数函数sqrt():平方根函数abs():绝对值函数sum():求和函数mean():求平均值函数mod(a,m):求a/m的余数3.取整命令round():四舍五入为最近的整数或小数floor():朝负无穷大四舍五入ceil...
, anticipate that the market will even out over time. this tendency of exp's price to converge to an average value over time is called mean reversion. however, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed ...
欢迎大家在提交代码(用截图的绝不AC) 分享66赞 柯南吧 math_AM_HA 第一次发帖,我就发一张自己最近做的灰原哀函数图吧。。 分享1813 数学吧 Nick🌝 tanπ/2=?? 分享2825 西雅吧 西雅堂主 MATLAB软件(3)~~6.1.1 简单数学期望和平均值 Mean平均值函数 对于一些服从特殊分布的随机变量而言直接利用数组的...
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nbatch +=1# don't include padding data in the test perplexitydensity += batch.data[1].mean()if(nbatch +1) % log_interval ==0: logging.info("Eval batch %d loss : %.7f"% (nbatch, (total_L / density).asscalar())) data_iter.reset() ...
EXP Variance is another measure of security risk that shows the amount of dispersion of equity returns around their mean value. Variance is calculated as the average squared deviations from the mean. Evaluating a set of investment alternatives one can us
Wesehe exp-functionethod inrderobtainonventionalolitonsnd periodicolutions.he proposedchemeaneppliedo widelassf nonlinear equations.ZehraEgePinarEgeAhmetEgeYildirimEgeComputers & Mathematics with Applications: An International JournalA. Yildirim and Z. Pnar, "Application of the exp-function method for ...
numpy.mean() numpy.asarray() numpy.abs() numpy.log() numpy.linspace() numpy.max() numpy.concatenate() numpy.all() numpy.inf() numpy.argmax() Related Modules os sys re time logging random math copy itertools json pickle collections argparse matplotlib.pypl...
yMat = yMat - yMean numTestPts =30# 迭代次数wMat = zeros((numTestPts, shape(xMat)[1]))# 返回矩阵foriinrange(numTestPts): ws = ridgeRegres(xMat, yMat,exp(i -10))# 计算回归系数,指数级wMat[i, :] = ws.TreturnwMat