一、基于原生Python实现岭回归(Ridge Regression) 岭回归(Ridge Regression)是一种常见的线性回归的扩展形式,它通过引入 L2正则化项 来解决线性回归模型中可能存在的过拟合问题。 在这里插入图片描述 线性回归模型的预测函数为: \hat{y} = \theta_0 + \theta_1 x_1 + \theta_2 x_2 + \cdots + \theta_...
the estimates. Larger values specify stronger regularization. Alpha corresponds to ``C^-1`` in other linear models such as LogisticRegression or LinearSVC. If an array is passed, penalties are assumed to be specific to the targets.Hence they must correspond in number. max_iter : int, optional...
Cost function of a linear regression model In the equation above, yi is the actual value and that is the predicted value from our linear equation, where M is the number of rows and P is the number of features. Start Learning Python For Free See More Introduction to Regression with statsmod...
new = [24, 2.5, 3.5, 18.5] # predict hp value using ridge regression model model.predict([new]) # array([104.16398018]) 1. 2. 3. 4. 5. 6. 7. 根据输入值,模型预测这辆车的HP值为104.16398018。
Explore Ridge and Lasso Regression, their mathematical principles & practical applications in Python to enhance regression skills. Read Now!
L2正则化相比于L1正则化在计算梯度时更加简单。直接对损失函数关于w求导即可。这种基于L2正则化的回归模型便是著名的岭回归(Ridge Regression)。 Ridge 有了上一讲的代码框架,我们直接在原基础上对损失函数和梯度计算公式进行修改即可。下面来看具体代码。
ridge regression: 在最小二乘的基础上添加一个系数为α的惩罚项,惩罚项为参数向量2范数的平方,可以通过控制α来调节数据集的过拟合问题 拟合方法,参数调用与线性回归相同 岭回归优点:可以应用于高度坏条件矩阵(目标值的轻微改变会造成参数的大方差,数据曲线波动加剧,容易导致过拟合问题,因此添加系数为α的惩罚项减小...
lr = LinearRegression() #定义一个线性回归对象 lr.fit(x_train,y_train) # 训练模型 LinearRegression(copy_X=True, fit_intercept=True, n_jobs=None, normalize=False) 输出训练集的拟合的确定系数r方 lr.score(x_train,y_train) #输出训练集的拟合的确定系数r方 0.6104887413345148 对测试集进行预...
Python Practicum Workshop sparktime-seriespipelinelinear-regressionpandasmllibridgecatboostlgbmoptuna UpdatedSep 12, 2023 Jupyter Notebook Star5 Predict the vehicle price from the open source Auto data set using linear regression. In this data set, we have prices for 205 automobiles, along with other...
machine learning linear regression 吴恩达机器学习 jupyter note版本编程作业 线性回归 linear regression 机器学习与数据挖掘 上传者:chasetim时间:2022-10-09 Python线性回归Demo Python线性回归的简单Demo,包含Python代码、简单数据,文档 上传者:xingstar1011时间:2018-06-01 ...