Python CountsTrace Examples

Example #1

File: temporal_memory_monitor_mixin.py Project: yangmingzi/nupic

    def mmClearHistory(self):
        super(TemporalMemoryMonitorMixin, self).mmClearHistory()

        self._mmTraces["predictedCells"] = IndicesTrace(
            self, "predicted cells")
        self._mmTraces["activeColumns"] = IndicesTrace(self, "active columns")
        self._mmTraces["predictiveCells"] = IndicesTrace(
            self, "predictive cells")
        self._mmTraces["numSegments"] = CountsTrace(self, "# segments")
        self._mmTraces["numSynapses"] = CountsTrace(self, "# synapses")
        self._mmTraces["sequenceLabels"] = StringsTrace(
            self, "sequence labels")
        self._mmTraces["resets"] = BoolsTrace(self, "resets")

        self._mmTransitionTracesStale = True

Example #2

    def mmClearHistory(self):
        super(ColumnPoolerMonitorMixin, self).mmClearHistory()

        self._mmTraces["activeCells"] = IndicesTrace(self, "active cells")
        self._mmTraces["numDistalSegments"] = CountsTrace(
            self, "# distal segments")
        self._mmTraces["numDistalSynapses"] = CountsTrace(
            self, "# distal synapses")
        self._mmTraces["numConnectedDistalSynapses"] = CountsTrace(
            self, "# connected distal synapses")
        self._mmTraces["numProximalSynapses"] = CountsTrace(
            self, "# proximal synapses")
        self._mmTraces["numConnectedProximalSynapses"] = CountsTrace(
            self, "# connected proximal synapses")
        self._mmTraces["sequenceLabels"] = StringsTrace(
            self, "sequence labels")
        self._mmTraces["resets"] = BoolsTrace(self, "resets")
        self._mmTransitionTracesStale = True

Example #3

File: spatial_pooler_monitor_mixin.py Project: solversa/nupic.research

    def mmClearHistory(self):
        super(SpatialPoolerMonitorMixin, self).mmClearHistory()

        self._mmTraces["activeColumns"] = IndicesTrace(self, "active columns")
        self._mmTraces["activeInputs"] = IndicesTrace(self, "active inputs")
        self._mmTraces["numConnections"] = CountsTrace(self, "connections")
        self._mmTraces["learn"] = BoolsTrace(self, "learn")

        initialPermanence = numpy.zeros((self._numColumns, self._numInputs),
                                        dtype=realDType)
        for c in range(self._numColumns):
            self.getPermanence(c, initialPermanence[c, :])

        self._mmData["initialPermanence"] = initialPermanence

Example #4

File: union_temporal_pooler_monitor_mixin.py Project: oxtopus/htmresearch

  def mmClearHistory(self):
    super(UnionTemporalPoolerMonitorMixin, self).mmClearHistory()

    self._mmTraces["unionSDR"] = IndicesTrace(self, "union SDR")
    self._mmTraces["sequenceLabels"] = StringsTrace(self, "sequence labels")
    self._mmTraces["resets"] = BoolsTrace(self, "resets")
    self._mmTraces["connectionsPerColumnMetric"] = MetricsTrace(
      self, "connections per column (metric)")

    self._mmData["unionSDRDutyCycle"] = numpy.zeros(self.getNumColumns(), dtype=realDType)
    self._mmData["persistenceDutyCycle"] = numpy.zeros(self.getNumColumns(), dtype=realDType)

    self._mmTraces["numConnections"] = CountsTrace(self, "connections")

    self._sequenceRepresentationDataStale = True

Example #5

File: metric_test.py Project: DailyActie/AI_ML_LIB-nupic

 def setUp(self):
   self.trace = CountsTrace(self, "# active cells")
   self.trace.data = [1, 2, 3, 4, 5, 0]

Example #6

File: spatial_pooler_monitor_mixin.py Project: pombreda/nupic.research

  def mmClearHistory(self):
    super(SpatialPoolerMonitorMixin, self).mmClearHistory()

    self._mmTraces["activeColumns"] = IndicesTrace(self, "active columns")
    self._mmTraces["numConnections"] = CountsTrace(self, "connections")