SVM 输出分类概率(python)

import numpy as np

from sklearn import svm

X = np.array([[-1, -1], [-2, -1], [1, 1], [2, 1]])

y = np.array([1, 1, 2, 2])

clt = svm.SVC(probability = True)

clt.fit(X, y)

print clt.predict([[-0.8, -1]])

print clt.predict_proba([[-0.8, -1]])