code: def regress_from_neighbors(x, x_coded, Inn):
      (N, knn) = get_Inn_shape(Inn)
      betas = np.zeros((N, knn))
      t0 = time.time()
      for i in range(N):
          xi = x[i, :]
          NNi = get_neighbor_table(x_coded, Inn, i)
          betas[i, :] = np.linalg.lstsq(
              NNi.transpose(), xi, rcond=0.01
          )[0]
          if i % (N / 10) == 0:
              print(
                  "[%d:%d]  %6.3fs" % (i, i + N / 10, time.time() - t0)
              )
      return betas
  
file_path: faiss/benchs/link_and_code/neighbor_codec.py
imports: from __future__ import print_function
  import time
  import numpy
  import faiss
label_desc: Use image node_id 5 for calling a global function with example usage: regress_from_neighbors(x, x_coded, Inn) and returns: betas