def getBucketIndices(self, input, learn=None):
    """
    [overrides nupic.encoders.scalar.ScalarEncoder.getBucketIndices]
    """

    self.recordNum +=1
    if learn is None:
      learn = self._learningEnabled

    if type(input) is float and math.isnan(input):
      input = SENTINEL_VALUE_FOR_MISSING_DATA

    if input == SENTINEL_VALUE_FOR_MISSING_DATA:
      return [None]
    else:
      self._setMinAndMax(input, learn)
      return super(AdaptiveScalarEncoder, self).getBucketIndices(input)
def getBucketIndices(self, input, learn=None):
    """
    [overrides nupic.encoders.scalar.ScalarEncoder.getBucketIndices]
    """

    self.recordNum +=1
    if learn is None:
      learn = self._learningEnabled

    if type(input) is float and math.isnan(input):
      input = SENTINEL_VALUE_FOR_MISSING_DATA

    if input == SENTINEL_VALUE_FOR_MISSING_DATA:
      return [None]
    else:
      self._setMinAndMax(input, learn)
      return super(AdaptiveScalarEncoder, self).getBucketIndices(input)
def getBucketIndices ( self , input , learn = None ) : self . recordNum += 1 if learn is None : learn = self . _learningEnabled if type ( input ) is float and math . isnan ( input ) : input = SENTINEL_VALUE_FOR_MISSING_DATA if input == SENTINEL_VALUE_FOR_MISSING_DATA : return [ None ] else : self . _setMinAndMax ( input , learn ) return super ( AdaptiveScalarEncoder , self ) . getBucketIndices ( input )
[overrides nupic.encoders.scalar.ScalarEncoder.getBucketIndices]
[ overrides nupic . encoders . scalar . ScalarEncoder . getBucketIndices ]