src/nupic/algorithms/backtracking_tm.py
def printCells(self, predictedOnly=False):
    """
    TODO: document
    
    :param predictedOnly: 
    :return: 
    """
    if predictedOnly:
      print "--- PREDICTED CELLS ---"
    else:
      print "--- ALL CELLS ---"
    print "Activation threshold=", self.activationThreshold,
    print "min threshold=", self.minThreshold,
    print "connected perm=", self.connectedPerm

    for c in xrange(self.numberOfCols):
      for i in xrange(self.cellsPerColumn):
        if not predictedOnly or self.infPredictedState['t'][c, i]:
          self.printCell(c, i, predictedOnly)
def printCells(self, predictedOnly=False):
    """
    TODO: document
    
    :param predictedOnly: 
    :return: 
    """
    if predictedOnly:
      print "--- PREDICTED CELLS ---"
    else:
      print "--- ALL CELLS ---"
    print "Activation threshold=", self.activationThreshold,
    print "min threshold=", self.minThreshold,
    print "connected perm=", self.connectedPerm

    for c in xrange(self.numberOfCols):
      for i in xrange(self.cellsPerColumn):
        if not predictedOnly or self.infPredictedState['t'][c, i]:
          self.printCell(c, i, predictedOnly)
def printCells ( self , predictedOnly = False ) : if predictedOnly : print "--- PREDICTED CELLS ---" else : print "--- ALL CELLS ---" print "Activation threshold=" , self . activationThreshold , print "min threshold=" , self . minThreshold , print "connected perm=" , self . connectedPerm for c in xrange ( self . numberOfCols ) : for i in xrange ( self . cellsPerColumn ) : if not predictedOnly or self . infPredictedState [ 't' ] [ c , i ] : self . printCell ( c , i , predictedOnly )
TODO: document
    
    :param predictedOnly: 
    :return:
TODO : document : param predictedOnly : : return :