def testComputePredictiveCells(self):
tm = TemporalMemory(activationThreshold=2,
minThreshold=2,
predictedSegmentDecrement=0.004)
connections = tm.connections
connections.createSegment(0)
connections.createSynapse(0, 23, 0.6)
connections.createSynapse(0, 37, 0.5)
connections.createSynapse(0, 477, 0.9)
connections.createSegment(1)
connections.createSynapse(1, 733, 0.7)
connections.createSynapse(1, 733, 0.4)
connections.createSegment(1)
connections.createSynapse(2, 974, 0.9)
connections.createSegment(8)
connections.createSynapse(3, 486, 0.9)
connections.createSegment(100)
activeCells = set([23, 37, 733, 974])
(activeSegments, predictiveCells, matchingSegments,
matchingCells) = tm.computePredictiveCells(activeCells, connections)
self.assertEqual(activeSegments, set([0]))
self.assertEqual(predictiveCells, set([0]))
self.assertEqual(matchingSegments, set([0, 1]))
self.assertEqual(matchingCells, set([0, 1]))
def testComputePredictiveCells(self):
tm = TemporalMemory(activationThreshold=2)
connections = tm.connections
connections.createSegment(0)
connections.createSynapse(0, 23, 0.6)
connections.createSynapse(0, 37, 0.5)
connections.createSynapse(0, 477, 0.9)
connections.createSegment(1)
connections.createSynapse(1, 733, 0.7)
connections.createSynapse(1, 733, 0.4)
connections.createSegment(1)
connections.createSynapse(2, 974, 0.9)
connections.createSegment(8)
connections.createSynapse(3, 486, 0.9)
connections.createSegment(100)
activeSynapsesForSegment = {0: set([0, 1]),
1: set([3, 4]),
2: set([5])}
(activeSegments,
predictiveCells) = tm.computePredictiveCells(activeSynapsesForSegment,
connections)
self.assertEqual(activeSegments, set([0]))
self.assertEqual(predictiveCells, set([0]))
def testComputePredictiveCells(self):
tm = TemporalMemory(activationThreshold=2,
minThreshold=2,
predictedSegmentDecrement=0.004)
connections = tm.connections
connections.createSegment(0)
connections.createSynapse(0, 23, 0.6)
connections.createSynapse(0, 37, 0.5)
connections.createSynapse(0, 477, 0.9)
connections.createSegment(1)
connections.createSynapse(1, 733, 0.7)
connections.createSynapse(1, 733, 0.4)
connections.createSegment(1)
connections.createSynapse(2, 974, 0.9)
connections.createSegment(8)
connections.createSynapse(3, 486, 0.9)
connections.createSegment(100)
activeCells = set([23, 37, 733, 974])
(activeSegments,
predictiveCells,
matchingSegments,
matchingCells) = tm.computePredictiveCells(activeCells)
self.assertEqual(activeSegments, set([0]))
self.assertEqual(predictiveCells, set([0]))
self.assertEqual(matchingSegments, set([0,1]))
self.assertEqual(matchingCells, set([0,1]))
def testComputePredictiveCells(self):
tm = TemporalMemory(activationThreshold=2)
connections = tm.connections
connections.createSegment(0)
connections.createSynapse(0, 23, 0.6)
connections.createSynapse(0, 37, 0.5)
connections.createSynapse(0, 477, 0.9)
connections.createSegment(1)
connections.createSynapse(1, 733, 0.7)
connections.createSynapse(1, 733, 0.4)
connections.createSegment(1)
connections.createSynapse(2, 974, 0.9)
connections.createSegment(8)
connections.createSynapse(3, 486, 0.9)
connections.createSegment(100)
activeCells = set([23, 37, 733, 974])
(activeSegments, predictiveCells,
numActiveSynapsesForSegment) = tm.computePredictiveCells(
activeCells, connections)
self.assertEqual(activeSegments, set([0]))
self.assertEqual(predictiveCells, set([0]))
self.assertEqual(numActiveSynapsesForSegment, {0: 2, 1: 2, 2: 1})
