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from tools.load import LoadMatrix
from sg import sg
lm=LoadMatrix()
traindna=lm.load_dna('../data/fm_train_dna.dat')
testdna=lm.load_dna('../data/fm_test_dna.dat')
parameter_list=[[traindna,testdna,3,0,'n'],[traindna,testdna,4,0,'n']]
def distance_canberraword (fm_train_dna=traindna,fm_test_dna=testdna,order=3,
gap=0,reverse='n'):
sg('set_distance', 'CANBERRA', 'WORD')
sg('add_preproc', 'SORTWORDSTRING')
sg('set_features', 'TRAIN', fm_train_dna, 'DNA')
sg('convert', 'TRAIN', 'STRING', 'CHAR', 'STRING', 'WORD', order, order-1, gap, reverse)
sg('attach_preproc', 'TRAIN')
dm=sg('get_distance_matrix', 'TRAIN')
sg('set_features', 'TEST', fm_test_dna, 'DNA')
sg('convert', 'TEST', 'STRING', 'CHAR', 'STRING', 'WORD', order, order-1, gap, reverse)
sg('attach_preproc', 'TEST')
dm=sg('get_distance_matrix', 'TEST')
return dm
if __name__=='__main__':
print('CanberraWordDistance')
distance_canberraword(*parameter_list[0])
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