src/nupic/frameworks/opf/htm_prediction_model.py
def _addAnomalyClassifierRegion(self, network, params, spEnable, tmEnable):
    """
    Attaches an 'AnomalyClassifier' region to the network. Will remove current
    'AnomalyClassifier' region if it exists.

    Parameters
    -----------
    network - network to add the AnomalyClassifier region
    params - parameters to pass to the region
    spEnable - True if network has an SP region
    tmEnable - True if network has a TM region; Currently requires True
    """

    allParams = copy.deepcopy(params)
    knnParams = dict(k=1,
                     distanceMethod='rawOverlap',
                     distanceNorm=1,
                     doBinarization=1,
                     replaceDuplicates=0,
                     maxStoredPatterns=1000)
    allParams.update(knnParams)

    # Set defaults if not set
    if allParams['trainRecords'] is None:
      allParams['trainRecords'] = DEFAULT_ANOMALY_TRAINRECORDS

    if allParams['cacheSize'] is None:
      allParams['cacheSize'] = DEFAULT_ANOMALY_CACHESIZE

    # Remove current instance if already created (used for deserializing)
    if self._netInfo is not None and self._netInfo.net is not None \
              and self._getAnomalyClassifier() is not None:
      self._netInfo.net.removeRegion('AnomalyClassifier')

    network.addRegion("AnomalyClassifier",
                      "py.KNNAnomalyClassifierRegion",
                      json.dumps(allParams))

    # Attach link to SP
    if spEnable:
      network.link("SP", "AnomalyClassifier", "UniformLink", "",
          srcOutput="bottomUpOut", destInput="spBottomUpOut")
    else:
      network.link("sensor", "AnomalyClassifier", "UniformLink", "",
          srcOutput="dataOut", destInput="spBottomUpOut")

    # Attach link to TM
    if tmEnable:
      network.link("TM", "AnomalyClassifier", "UniformLink", "",
              srcOutput="topDownOut", destInput="tpTopDownOut")
      network.link("TM", "AnomalyClassifier", "UniformLink", "",
              srcOutput="lrnActiveStateT", destInput="tpLrnActiveStateT")
    else:
      raise RuntimeError("TemporalAnomaly models require a TM region.")
def _addAnomalyClassifierRegion(self, network, params, spEnable, tmEnable):
    """
    Attaches an 'AnomalyClassifier' region to the network. Will remove current
    'AnomalyClassifier' region if it exists.

    Parameters
    -----------
    network - network to add the AnomalyClassifier region
    params - parameters to pass to the region
    spEnable - True if network has an SP region
    tmEnable - True if network has a TM region; Currently requires True
    """

    allParams = copy.deepcopy(params)
    knnParams = dict(k=1,
                     distanceMethod='rawOverlap',
                     distanceNorm=1,
                     doBinarization=1,
                     replaceDuplicates=0,
                     maxStoredPatterns=1000)
    allParams.update(knnParams)

    # Set defaults if not set
    if allParams['trainRecords'] is None:
      allParams['trainRecords'] = DEFAULT_ANOMALY_TRAINRECORDS

    if allParams['cacheSize'] is None:
      allParams['cacheSize'] = DEFAULT_ANOMALY_CACHESIZE

    # Remove current instance if already created (used for deserializing)
    if self._netInfo is not None and self._netInfo.net is not None \
              and self._getAnomalyClassifier() is not None:
      self._netInfo.net.removeRegion('AnomalyClassifier')

    network.addRegion("AnomalyClassifier",
                      "py.KNNAnomalyClassifierRegion",
                      json.dumps(allParams))

    # Attach link to SP
    if spEnable:
      network.link("SP", "AnomalyClassifier", "UniformLink", "",
          srcOutput="bottomUpOut", destInput="spBottomUpOut")
    else:
      network.link("sensor", "AnomalyClassifier", "UniformLink", "",
          srcOutput="dataOut", destInput="spBottomUpOut")

    # Attach link to TM
    if tmEnable:
      network.link("TM", "AnomalyClassifier", "UniformLink", "",
              srcOutput="topDownOut", destInput="tpTopDownOut")
      network.link("TM", "AnomalyClassifier", "UniformLink", "",
              srcOutput="lrnActiveStateT", destInput="tpLrnActiveStateT")
    else:
      raise RuntimeError("TemporalAnomaly models require a TM region.")
def _addAnomalyClassifierRegion ( self , network , params , spEnable , tmEnable ) : allParams = copy . deepcopy ( params ) knnParams = dict ( k = 1 , distanceMethod = 'rawOverlap' , distanceNorm = 1 , doBinarization = 1 , replaceDuplicates = 0 , maxStoredPatterns = 1000 ) allParams . update ( knnParams ) # Set defaults if not set if allParams [ 'trainRecords' ] is None : allParams [ 'trainRecords' ] = DEFAULT_ANOMALY_TRAINRECORDS if allParams [ 'cacheSize' ] is None : allParams [ 'cacheSize' ] = DEFAULT_ANOMALY_CACHESIZE # Remove current instance if already created (used for deserializing) if self . _netInfo is not None and self . _netInfo . net is not None and self . _getAnomalyClassifier ( ) is not None : self . _netInfo . net . removeRegion ( 'AnomalyClassifier' ) network . addRegion ( "AnomalyClassifier" , "py.KNNAnomalyClassifierRegion" , json . dumps ( allParams ) ) # Attach link to SP if spEnable : network . link ( "SP" , "AnomalyClassifier" , "UniformLink" , "" , srcOutput = "bottomUpOut" , destInput = "spBottomUpOut" ) else : network . link ( "sensor" , "AnomalyClassifier" , "UniformLink" , "" , srcOutput = "dataOut" , destInput = "spBottomUpOut" ) # Attach link to TM if tmEnable : network . link ( "TM" , "AnomalyClassifier" , "UniformLink" , "" , srcOutput = "topDownOut" , destInput = "tpTopDownOut" ) network . link ( "TM" , "AnomalyClassifier" , "UniformLink" , "" , srcOutput = "lrnActiveStateT" , destInput = "tpLrnActiveStateT" ) else : raise RuntimeError ( "TemporalAnomaly models require a TM region." )
Attaches an 'AnomalyClassifier' region to the network. Will remove current
    'AnomalyClassifier' region if it exists.

    Parameters
    -----------
    network - network to add the AnomalyClassifier region
    params - parameters to pass to the region
    spEnable - True if network has an SP region
    tmEnable - True if network has a TM region; Currently requires True
Attaches an AnomalyClassifier region to the network . Will remove current AnomalyClassifier region if it exists .