6.4 GaussianMixture.py 文件源码

 复制代码def test_GMM(*data):
    '''
    test the method of GMM
    :param data: data , target
    :return: None
    '''
    X,labels_true=data
    clst=mixture.GaussianMixture()
    clst.fit(X)
    predicted_labels=clst.predict(X)
    print("ARI:{0}".format(adjusted_rand_score(labels_true,predicted_labels)))