liblinear/liblinearutil.py [240:246]:
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		for i in range(nr_instance):
			if scipy and isinstance(x, sparse.spmatrix):
				indslice = slice(x.indptr[i], x.indptr[i+1])
				xi, idx = gen_feature_nodearray((x.indices[indslice], x.data[indslice]), feature_max=nr_feature)
			else:
				xi, idx = gen_feature_nodearray(x[i], feature_max=nr_feature)
			xi[-2] = biasterm
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liblinear/liblinearutil.py [257:263]:
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		for i in range(nr_instance):
			if scipy and isinstance(x, sparse.spmatrix):
				indslice = slice(x.indptr[i], x.indptr[i+1])
				xi, idx = gen_feature_nodearray((x.indices[indslice], x.data[indslice]), feature_max=nr_feature)
			else:
				xi, idx = gen_feature_nodearray(x[i], feature_max=nr_feature)
			xi[-2] = biasterm
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