7.3 liner_SVR.py 文件源码

def test_LinearSVR_loss(*data):
    '''
    test SVr with different loss function
    :param data: train_data,test_data, train_target, test_target
    :return:
    '''
    X_train,X_test,y_train,y_test=data
    losses=['epsilon_insensitive','squared_epsilon_insensitive']
    for loss in losses:
        regr=svm.LinearSVR(loss=loss)
        regr.fit(X_train,y_train)
        print("loss?{0}".format(loss))
        print('Coefficients:{0}, intercept {1}'.format(regr.coef_,regr.intercept_))
        print('Score: {0}' .format(regr.score(X_test, y_test)))