random_number = random.random() print("固定种子下的随机浮点数:", random_number) 8. random.getrandbits(k) random.getrandbits(k)函数生成k比特长的随机整数。适用于需要生成指定位数的随机整数的情况。 import random random_bits = random.getrandbits(4) # 生成4比特长的随机整数 print("随机整数(4...
Weight = (unsigned int)(expf(-(j*j)/sigma22) / sigma_sqrt2PI * 65536.0f); pGaussianCD[n] = Weight + pGaussianCD[n-1]; n++; } } /* Return a Gaussian random number between [0, 2*r], mean is r. */ unsigned int GaussianRandom(int radius) { static int r = 0, mn, m;...
最后,我们将根据随机数和协方差矩阵计算多维高斯分布随机数。 importnumpyasnpdefgenerate_multivariate_gaussian_random_number(mean,cov_matrix):dim=len(mean)random_number=generate_random_number(dim)# 生成标准正态分布随机数cholesky_matrix=np.linalg.cholesky(cov_matrix)# Cholesky分解协方差矩阵random_number=np...
No. 1 :Help on method betavariate in module random:betavariate(alpha, beta) method of random.Random instanceBeta distribution.Conditions on the parameters are alpha > 0 and beta > 0.Returned values range between 0 and 1.No. 2 :Help on method choice in module random:choice(seq) method of ...
# generate random Gaussian valuesfromrandomimportseedfromrandomimportgauss# seed random number generatorseed(1)# generate some Gaussian valuesfor_inrange(10):value=gauss(0,1)print(value) 运行示例生成并打印10个高斯随机值。 1.28818475315546291.4494456086997710.06633580893826191-0.7645436509716318-1.09217321510414140...
generate random permutation distributions on the real line: --- uniform triangular normal (Gaussian) lognormal negative exponential gamma beta pareto Weibull distributions on the circle (angles 0 to 2pi) --- circular uniform von Mises ``` 1.3...
pick random sample generate random permutation distributions on the real line: --- uniform triangular normal (Gaussian) lognormal negative exponential gamma beta pareto Weibull distributions on the circle (angles 0 to 2pi) --- circular uniform von Mises General notes...
from sklearn.mixture import GaussianMixture# Suppose Data X is a 2-D Numpy array (One apple has two features, size and flavor) GMM = GaussianMixture(n_components=3, random_state=0).fit(X) GaussianMixtureis the function,n_componentsis the number of underlying Gaussian distributions,random_sta...
gauss()Returns a random float number based on the Gaussian distribution (used in probability theories) lognormvariate()Returns a random float number based on a log-normal distribution (used in probability theories) normalvariate()Returns a random float number based on the normal distribution (used ...
random.random random.random()用于生成一个0到1的随机符点数: 0 <= n < 1.0 random.uniform ...