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logist回归
针对多类回归，分成1vs rest 和 1 vs 1两种策略
from sklearn.datasets import load_digits
digits=load_digits()
X,y=digits.data[:1700,:],digits.target[:1700]
tX,ty=digits.data[1700:,:],digits.target[1700:]
from sklearn.multiclass import OneVsRestClassifier, OneVsOneClassifier
OVR = OneVsRestClassifier(logistic).fit(X,y)
OVO = OneVsOneClassifier(logistic).fit(X,y)
print 'One vs rest accuracy: %.3f' % OVR.score(tX,ty)
print 'One vs one accuracy: %.3f' % OVO.score(tX,ty)
