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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')
trainlabel=lm.load_labels('../data/label_train_dna.dat')
parameter_list=[[traindna,testdna,trainlabel,10,3,0,'n'],
[traindna,testdna,trainlabel,11,4,0,'n']]
def kernel_pluginestimatehistogram (fm_train_dna=traindna,fm_test_dna=testdna,
label_train_dna=trainlabel,size_cache=10,
order=3,gap=0,reverse='n',):
sg('set_features', 'TRAIN', fm_train_dna, 'DNA')
sg('convert', 'TRAIN', 'STRING', 'CHAR', 'STRING', 'WORD', order, order-1, gap, reverse)
sg('set_features', 'TEST', fm_test_dna, 'DNA')
sg('convert', 'TEST', 'STRING', 'CHAR', 'STRING', 'WORD', order, order-1, gap, reverse)
pseudo_pos=1e-1
pseudo_neg=1e-1
sg('new_plugin_estimator', pseudo_pos, pseudo_neg)
sg('set_labels', 'TRAIN', label_train_dna)
sg('train_estimator')
sg('set_kernel', 'HISTOGRAM', 'WORD', size_cache)
km=sg('get_kernel_matrix', 'TRAIN')
# not supported yet
# lab=sg('plugin_estimate_classify')
km=sg('get_kernel_matrix', 'TEST')
return km
if __name__=='__main__':
print('PluginEstimate w/ HistogramWord')
kernel_pluginestimatehistogram(*parameter_list[0])
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