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from tools.load import LoadMatrix
from sg import sg
lm=LoadMatrix()
traindat=lm.load_numbers('../data/fm_train_real.dat')
testdat=lm.load_numbers('../data/fm_test_real.dat')
train_label=lm.load_labels('../data/label_train_twoclass.dat')
parameter_list=[[traindat,testdat, train_label],
[traindat,testdat,train_label]]
def classifier_lda (fm_train_real=traindat,fm_test_real=testdat,
label_train_twoclass=train_label):
sg('set_features', 'TRAIN', fm_train_real)
sg('set_labels', 'TRAIN', label_train_twoclass)
sg('new_classifier', 'LDA')
sg('train_classifier')
sg('set_features', 'TEST', fm_test_real)
result=sg('classify')
return result
if __name__=='__main__':
print('LDA')
classifier_lda(*parameter_list[0])
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