拟合Gamma分布: 代码语言:txt 复制 shape, loc, scale = stats.gamma.fit(data) 绘制拟合结果: 代码语言:txt 复制 x = np.linspace(0, 15, 100) y = stats.gamma.pdf(x, shape, loc, scale) plt.plot(x, y, label='Fitted Gamma Distribution') plt.hist(data, bins=10, density=True, alpha=0....
20,1000)# 生成X轴的范围pdf_fitted=gamma.pdf(x,shape_fitted,loc_fitted,scale_fitted)# 绘制拟合曲线plt.plot(x,pdf_fitted,'r-',label='Fitted Gamma Distribution')plt.title('Gamma Distribution Fit')plt.xlabel('Data')plt.ylabel('Density')plt.legend()plt.show()# 显示图形...
distfit 简单又好用# 安装 pip install distfitdistfit 常见的用法：.fit_transform(): 在经验数据 X...
Step 5: Fit a gamma distribution to the generated samples To estimate the parameters of the gamma distribution that best fit our generated samples, we can use thenumpy.random.gamma.fitfunction. This function returns the shape and scale parameters of the fitted distribution. fit_shape,fit_scale=...
print(lassofit)#交叉验证 set.seed(12345)lasso_model <- cv.glmnet(X,Y,alpha = 1,lambda = ...
SciPy库提供了gamma.fit函数,可以直接用于Gamma分布的参数估计。 python from scipy.stats import gamma # 拟合Gamma分布 shape, loc, scale = gamma.fit(data, floc=0) # 假设位置参数loc为0 在这里,gamma.fit函数返回三个值:形状参数 shape,位置参数 loc(这里我们假设为0),和尺度参数 scale。 4. 根据拟合...
# import numpy as np # # arr = np.arange(1, 200) # np.random.shuffle(arr) # arr为创建的随机数 # # fitter_dis = Fitter(arr) # fitter_dis.fit() # distribution_df = fitter_dis.summary() # 这里可以得到error最小的Dataframe型数据...
(Log-Normal Distribution)')plt.xlabel('值')plt.ylabel('频率')plt.subplot(4,3,7)sns.histplot(beta_data,kde=True,bins=30)plt.title('贝塔分布 (Beta Distribution)')plt.xlabel('值')plt.ylabel('频率')plt.subplot(4,3,8)sns.histplot(chisquare_data,kde=True,bins=30)plt.title('卡方分布...
X_train=scaler.fit_transform(X_train)# 标准化测试集数据 X_test=scaler.transform(X_test)print("Standardized training data (first 5 samples):")print(X_train[:5]) 输出: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 Standardized trainingdata(first5samples):[[-1.0560.3-1.1-1.][-0.3001...
% Then the incomplete gamma function, 'gammainc', % is used to map these points radially to fit in the % hypersphere of finite radius r with a uniform % spatial distribution. % Roger Stafford - 12/23/05 X = randn(m,n); s2 = sum(X.^2,2); ...