Artificial Intelligence, Machine Learning, Math, Computer Science, Software Engineering.
num_attrs]) new_index = 0 nbrs = NearestNeighbors(n_neighbors=k+1).fit(sample.values) def populate(N, i, nnarray): nonlocal new_index nonlocal synthetic nonlocal sample while N != 0: nn = randrange(1, k+1) for attr in range(num_attrs): dif = sample.iloc[nnarray[nn]][attr] - sample.iloc[i][attr] gap