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Ridge regression and classification峰回归和峰归类regression峰回归Ridge regression addresses some of the problems of Ordinary Least Squares by imposing a penalty on the size of the coefficients. The ridge coefficients minimize a penalized residual sum of squares:

1 Ordinary Least Squares1 最小二乘法LinearRegression fits a linear model with coefficients w=(w1,…,wp) to minimize the residual sum of squares between the observed targets in the dataset, and the targets predicted by the linear approximation. Mathematically

LinearModel线性模型The following are a set of methods intended for regression in which the target value is expected to be a linear combination of the features. In mathematical notation, if y^ is the predicted value.以下公式是为了得到线性组合的特点(参数)进行的线性回归，在数学符号中，假设y^是代表