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
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
class IndicesTraceTest(unittest.TestCase):
def setUp(self):
self.trace = IndicesTrace(self, "active cells")
self.trace.data.append(set([1, 2, 3]))
self.trace.data.append(set([4, 5]))
self.trace.data.append(set([6]))
self.trace.data.append(set([]))
def testMakeCountsTrace(self):
countsTrace = self.trace.makeCountsTrace()
self.assertEqual(countsTrace.title, "# active cells")
self.assertEqual(countsTrace.data, [3, 2, 1, 0])
def testMakeCumCountsTrace(self):
countsTrace = self.trace.makeCumCountsTrace()
self.assertEqual(countsTrace.title, "# (cumulative) active cells")
self.assertEqual(countsTrace.data, [3, 5, 6, 6])
def mmClearHistory(self):
super(TemporalPoolerMonitorMixin, self).mmClearHistory()
self._mmTraces["activeCells"] = IndicesTrace(self, "active cells")
self._mmTraces["sequenceLabels"] = StringsTrace(self, "sequence labels")
self._mmTraces["resets"] = BoolsTrace(self, "resets")
self._sequenceRepresentationDataStale = True
class IndicesTraceTest(unittest.TestCase):
def setUp(self):
self.trace = IndicesTrace(self, "active cells")
self.trace.data.append(set([1, 2, 3]))
self.trace.data.append(set([4, 5]))
self.trace.data.append(set([6]))
self.trace.data.append(set([]))
def testMakeCountsTrace(self):
countsTrace = self.trace.makeCountsTrace()
self.assertEqual(countsTrace.title, "# active cells")
self.assertEqual(countsTrace.data, [3, 2, 1, 0])
def testMakeCumCountsTrace(self):
countsTrace = self.trace.makeCumCountsTrace()
self.assertEqual(countsTrace.title, "# (cumulative) active cells")
self.assertEqual(countsTrace.data, [3, 5, 6, 6])
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
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
def _mmComputeTransitionTraces(self):
"""
Computes the transition traces, if necessary.
Transition traces are the following:
predicted => active cells
predicted => inactive cells
predicted => active columns
predicted => inactive columns
unpredicted => active columns
"""
if not self._mmTransitionTracesStale:
return
self._mmData["predictedActiveCellsForSequence"] = defaultdict(set)
self._mmTraces["predictedActiveCells"] = IndicesTrace(
self, "predicted => active cells (correct)")
self._mmTraces["predictedInactiveCells"] = IndicesTrace(
self, "predicted => inactive cells (extra)")
self._mmTraces["predictedActiveColumns"] = IndicesTrace(
self, "predicted => active columns (correct)")
self._mmTraces["predictedInactiveColumns"] = IndicesTrace(
self, "predicted => inactive columns (extra)")
self._mmTraces["unpredictedActiveColumns"] = IndicesTrace(
self, "unpredicted => active columns (bursting)")
predictedCellsTrace = self._mmTraces["predictedCells"]
for i, activeColumns in enumerate(self.mmGetTraceActiveColumns().data):
predictedActiveCells = set()
predictedInactiveCells = set()
predictedActiveColumns = set()
predictedInactiveColumns = set()
for predictedCell in predictedCellsTrace.data[i]:
predictedColumn = self.columnForCell(predictedCell)
if predictedColumn in activeColumns:
predictedActiveCells.add(predictedCell)
predictedActiveColumns.add(predictedColumn)
sequenceLabel = self.mmGetTraceSequenceLabels().data[i]
if sequenceLabel is not None:
self._mmData["predictedActiveCellsForSequence"][
sequenceLabel].add(predictedCell)
else:
predictedInactiveCells.add(predictedCell)
predictedInactiveColumns.add(predictedColumn)
unpredictedActiveColumns = activeColumns - predictedActiveColumns
self._mmTraces["predictedActiveCells"].data.append(
predictedActiveCells)
self._mmTraces["predictedInactiveCells"].data.append(
predictedInactiveCells)
self._mmTraces["predictedActiveColumns"].data.append(
predictedActiveColumns)
self._mmTraces["predictedInactiveColumns"].data.append(
predictedInactiveColumns)
self._mmTraces["unpredictedActiveColumns"].data.append(
unpredictedActiveColumns)
self._mmTransitionTracesStale = False
def setUp(self): self.trace = IndicesTrace(self, "active cells") self.trace.data.append(set([1, 2, 3])) self.trace.data.append(set([4, 5])) self.trace.data.append(set([6])) self.trace.data.append(set([]))
def setUp(self): self.trace = IndicesTrace(self, "active cells") self.trace.data.append(set([1, 2, 3])) self.trace.data.append(set([4, 5])) self.trace.data.append(set([6])) self.trace.data.append(set([]))
def mmClearHistory(self):
super(SpatialPoolerMonitorMixin, self).mmClearHistory()
self._mmTraces["activeColumns"] = IndicesTrace(self, "active columns")
self._mmTraces["numConnections"] = CountsTrace(self, "connections")
