code: def showPredictions():
       
    for k in range(6):
      tm.reset()
      print "--- " + "ABCDXY"[k] + " ---"
      tm.compute(set(seqT[k][:].nonzero()[0].tolist()), learn=False)
      activeColumnsIndices = [tm.columnForCell(i) for i in tm.getActiveCells()]
      predictedColumnIndices = [tm.columnForCell(i) for i in tm.getPredictiveCells()]  
      currentColumns = [1 if i in activeColumnsIndices else 0 for i in range(tm.numberOfColumns())]
      predictedColumns = [1 if i in predictedColumnIndices else 0 for i in range(tm.numberOfColumns())]
      print("Active cols: " + str(np.nonzero(currentColumns)[0]))
      print("Predicted cols: " + str(np.nonzero(predictedColumns)[0]))
      print ""
docs: Shows predictions of the TM when presented with the characters A, B, C, D, X, and
    Y without any contextual information, that is, not embedded within a sequence.