Exemplos de calculateInputOverlapMat em Python

Exemplo n.º 1

def analyzeReceptiveFieldSparseInputs(inputVectors, sp):
  numColumns = np.product(sp.getColumnDimensions())
  overlapMat = calculateInputOverlapMat(inputVectors, sp)

  sortedOverlapMat = np.zeros(overlapMat.shape)
  for c in range(numColumns):
    sortedOverlapMat[c, :] = np.sort(overlapMat[c, :])

  avgSortedOverlaps = np.flipud(np.mean(sortedOverlapMat, 0))
  plt.figure()
  plt.plot(avgSortedOverlaps, '-o')
  plt.xlabel('sorted input vector #')
  plt.ylabel('percent overlap')

  plt.figure()
  plt.imshow(overlapMat[:100, :], interpolation="nearest", cmap="magma")
  plt.xlabel("Input Vector #")
  plt.ylabel("SP Column #")
  plt.colorbar()
  plt.title('percent overlap')

Exemplo n.º 2

Arquivo: sp_paper_utils.py Projeto: hernandezurbina/nupic.research

def analyzeReceptiveFieldSparseInputs(inputVectors, sp):
  numColumns = np.product(sp.getColumnDimensions())
  overlapMat = calculateInputOverlapMat(inputVectors, sp)

  sortedOverlapMat = np.zeros(overlapMat.shape)
  for c in range(numColumns):
    sortedOverlapMat[c, :] = np.sort(overlapMat[c, :])

  avgSortedOverlaps = np.flipud(np.mean(sortedOverlapMat, 0))
  plt.figure()
  plt.plot(avgSortedOverlaps, '-o')
  plt.xlabel('sorted input vector #')
  plt.ylabel('percent overlap')

  plt.figure()
  plt.imshow(overlapMat[:100, :], interpolation="nearest", cmap="magma")
  plt.xlabel("Input Vector #")
  plt.ylabel("SP Column #")
  plt.colorbar()
  plt.title('percent overlap')