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return 1 if r > 0 else -1 #********* End *********# Ö§³ÖÏòÁ¿»Ø¹é #encoding=utf8 from sklearn.svm import SVR...def svr_predict(train_data,train_label,test_data): ''' input:train_data(ndarray):ѵÁ·Êý¾Ý train_label...(ndarray):ѵÁ·±êÇ© output:predict(ndarray):²âÊÔ¼¯Ô¤²â±êÇ© ''' #********* Begin *********# svr = SVR(kernel...='rbf',C=100,gamma= 0.001,epsilon=0.1) svr.fit(train_data,train_label) predict = svr.predict(
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