【机器学习】监督学习--（分类）支持向量机SVM①

SVM简单例子

from sklearn import svmx = [[3, 3], [4, 3], [1, 1]]y = [1, 1, -1]model = svm.SVC(kernel='linear')model.fit(x, y)# 打印支持向量print(model.support_vectors_)# 第2和第0个点是支持向量print(model.support_)# 有几个支持向量print(model.n_support_)print(model.predict([[4,3]]))print(model.coef_)print(model.intercept_)