for i in range(n_training_samples):
neighbors = get_neighbors(learnset_data,
learnset_labels,
testset_data[i],
6,
distance=distance)
print("index: ", i,
", result of vote: ",
vote_harmonic_weights(neighbors,
all_results=True))
index: 0 , result of vote: (1, [(1, 1.0)])
index: 1 , result of vote: (2, [(2, 1.0)])
index: 2 , result of vote: (1, [(1, 1.0)])
index: 3 , result of vote: (1, [(1, 1.0)])
index: 4 , result of vote: (2, [(2, 0.9319727891156463), (1, 0.06802721088435375)])
...