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# Example<6C><65>
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from sklearn import datasets
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import numpy
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from numpy import *
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from sklearn import svm
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print ('''<27><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>ݼ<EFBFBD>''')
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digits = datasets.load_digits()
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# <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD>digits<74><73><EFBFBD>ݼ<EFBFBD><DDBC>У<EFBFBD>digits.data<74>ǿ<EFBFBD><C7BF><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>
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print(digits.data,"type(digits.data)=%s"%type(digits.data))
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print("shape(digits.data)=%s,%s"%shape(digits.data))
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print (digits.target)
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print ('''ѵ<><D1B5><EFBFBD><EFBFBD>Ԥ<EFBFBD><D4A4>''')
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#ѡ<><D1A1><EFBFBD><EFBFBD><EFBFBD><EFBFBD>
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clf = svm.SVC(gamma=0.0001,C=100)
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# <20><><EFBFBD><EFBFBD>ѵ<EFBFBD><D1B5>
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clf.fit(digits.data[:-1],digits.target[:-1])
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# <20><><EFBFBD><EFBFBD>Ԥ<EFBFBD><D4A4>
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print (clf.predict(digits.data[:-1]))
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