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.y^(w,x)=w0+w1x1+…+wpxp
Across the module, we designate the vector w=(w1,…,wp) as coef_ and w0 as intercept_.
To perform classification with generalized linear models, see Logistic regression.