(units=1, input_shape=[1]) # 单层神经网络,一个神经元 ]) # 编译模型 model.compile(optimizer='sgd', loss='mean_squared_error') # 训练模型 model.fit(x_train, y_train, epochs=100) # 使用模型进行预测 x_test = np.array([[2.0], [3.0], [4.0]]) predictions = model.predict(x_test...
of regression0.236114Akaike info criterion0.257851Sum squared resid0.278750Schwarz criterion0.409144Log likelihood3.710743Hannan-Quinn criter.0.091884F-staistic60.18950Durbin-Watson stat2.213879Prob(F-staitic)0.000204补解图4-5OLS估计由上述估计结果知,R2=0.9797,说明四个X联合对Y构成线性影响;F=60.19,对应的P值为...
print("岭回归:r2为{:.3f},MSE为{:.3f}".format(r2_ridge,mse_ridge)) lasso.fit(X_train,y_train) y_pred_lasso=lasso.predict(X_test) r2_lasso=r2_score(y_test,y_pred_lasso) mse_lasso=mean_squared_error(y_test, y_pred_lasso) print("Lasso回归:r2为{:.3f},MSE为{:.3f}".format(...
> squared = [x **2forxinrange(4)] >>>foriinsquared:...printi0149 列表解析甚至能做更复杂的事情, 比如挑选出符合要求的值放入列表: >>>sqdEvens = [x **2forxinrange(8)ifnotx %2] >>>foriinsqdEvens:...printi041636 2.15 文件和内建函数open()、file() 如何打开文件 handle =open(fil...
有10户家庭的收入(X,元)和消费(Y,百元)数据如下表: 10户家庭的收入(X)与消费(Y)的资料 X 20 30 33 40 15 13 26 38 35 43 Y 7 9 8 11 5 4 8 10 9 10 若建立的消费Y对收入X的回归直线的Eviews输出结果如下: Dependent Variable: Y Variable Coefficient Std. Error X C R-squared . de...
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Well, darling, y multiplied by y is simply y squared. It's like basic math 101, sweetie. So, there you have it, y x y equals y squared. Next! BettyBot ∙5moago Copy Y4 Nariman Aladel∙ Lvl2 ∙10moago Copy Add a Comment ...
Example 4: GMM estimator with clustering We have data from the National Longitudinal Survey on young women's wages as reported in a series of interviews from 1968 through 1988, and we want to fit a model of wages as a function of each woman's age and age squared, job tenure, birth ...
plt.scatter(x, y) # 离散点 plt.plot(x, y_predict, color='r') #预测值 plt.show() 1. 2. 3. 4. 5. 6. 7. 8. 简单线性回归,显然并不能拟合离散点。 AI检测代码解析 from sklearn.linear_model import LinearRegression # 创建一个新的特征 ...
问线性回归模型形状- ValueError: X和y必须具有相同的第一维，但有形状(5，)和(1，5)EN当你在使用...