def testLearnOnSegments(self):
tm = TemporalMemory(maxNewSynapseCount=2)
connections = tm.connections
connections.createSegment(0)
connections.createSynapse(0, 23, 0.6)
connections.createSynapse(0, 37, 0.4)
connections.createSynapse(0, 477, 0.9)
connections.createSegment(1)
connections.createSynapse(1, 733, 0.7)
connections.createSegment(8)
connections.createSynapse(2, 486, 0.9)
connections.createSegment(100)
prevActiveSegments = set([0, 2])
learningSegments = set([1, 3])
prevActiveCells = set([23, 37, 733])
winnerCells = set([0])
prevWinnerCells = set([10, 11, 12, 13, 14])
predictedInactiveCells = set()
prevMatchingSegments = set()
tm.learnOnSegments(prevActiveSegments,
learningSegments,
prevActiveCells,
winnerCells,
prevWinnerCells,
connections,
predictedInactiveCells,
prevMatchingSegments)
# Check segment 0
synapseData = connections.dataForSynapse(0)
self.assertAlmostEqual(synapseData.permanence, 0.7)
synapseData = connections.dataForSynapse(1)
self.assertAlmostEqual(synapseData.permanence, 0.5)
synapseData = connections.dataForSynapse(2)
self.assertAlmostEqual(synapseData.permanence, 0.8)
# Check segment 1
synapseData = connections.dataForSynapse(3)
self.assertAlmostEqual(synapseData.permanence, 0.8)
self.assertEqual(len(connections.synapsesForSegment(1)), 2)
# Check segment 2
synapseData = connections.dataForSynapse(4)
self.assertAlmostEqual(synapseData.permanence, 0.9)
self.assertEqual(len(connections.synapsesForSegment(2)), 1)
# Check segment 3
self.assertEqual(len(connections.synapsesForSegment(3)), 2)
def testLearnOnSegments(self):
tm = TemporalMemory(maxNewSynapseCount=2)
connections = tm.connections
connections.createSegment(0)
connections.createSynapse(0, 23, 0.6)
connections.createSynapse(0, 37, 0.4)
connections.createSynapse(0, 477, 0.9)
connections.createSegment(1)
connections.createSynapse(1, 733, 0.7)
connections.createSegment(8)
connections.createSynapse(2, 486, 0.9)
connections.createSegment(100)
prevActiveSegments = set([0, 2])
learningSegments = set([1, 3])
prevActiveCells = set([23, 37, 733])
winnerCells = set([0])
prevWinnerCells = set([10, 11, 12, 13, 14])
predictedInactiveCells = set()
prevMatchingSegments = set()
tm.learnOnSegments(prevActiveSegments,
learningSegments,
prevActiveCells,
winnerCells,
prevWinnerCells,
connections,
predictedInactiveCells,
prevMatchingSegments)
# Check segment 0
synapseData = connections.dataForSynapse(0)
self.assertAlmostEqual(synapseData.permanence, 0.7)
synapseData = connections.dataForSynapse(1)
self.assertAlmostEqual(synapseData.permanence, 0.5)
synapseData = connections.dataForSynapse(2)
self.assertAlmostEqual(synapseData.permanence, 0.8)
# Check segment 1
synapseData = connections.dataForSynapse(3)
self.assertAlmostEqual(synapseData.permanence, 0.8)
self.assertEqual(len(connections.synapsesForSegment(1)), 2)
# Check segment 2
synapseData = connections.dataForSynapse(4)
self.assertAlmostEqual(synapseData.permanence, 0.9)
self.assertEqual(len(connections.synapsesForSegment(2)), 1)
# Check segment 3
self.assertEqual(len(connections.synapsesForSegment(3)), 2)
def testLearnOnSegments(self):
tm = TemporalMemory(maxNewSynapseCount=2)
connections = tm.connections
connections.createSegment(0)
connections.createSynapse(0, 23, 0.6)
connections.createSynapse(0, 37, 0.4)
connections.createSynapse(0, 477, 0.9)
connections.createSegment(1)
connections.createSynapse(1, 733, 0.7)
connections.createSegment(8)
connections.createSynapse(2, 486, 0.9)
connections.createSegment(100)
prevActiveSegments = set([0, 2])
learningSegments = set([1, 3])
prevActiveSynapsesForSegment = {0: set([0, 1]),
1: set([3])}
winnerCells = set([0])
prevWinnerCells = set([10, 11, 12, 13, 14])
tm.learnOnSegments(prevActiveSegments,
learningSegments,
prevActiveSynapsesForSegment,
winnerCells,
prevWinnerCells,
connections)
# Check segment 0
(_, _, permanence) = connections.dataForSynapse(0)
self.assertAlmostEqual(permanence, 0.7)
(_, _, permanence) = connections.dataForSynapse(1)
self.assertAlmostEqual(permanence, 0.5)
(_, _, permanence) = connections.dataForSynapse(2)
self.assertAlmostEqual(permanence, 0.8)
# Check segment 1
(_, _, permanence) = connections.dataForSynapse(3)
self.assertAlmostEqual(permanence, 0.8)
self.assertEqual(len(connections.synapsesForSegment(1)), 2)
# Check segment 2
(_, _, permanence) = connections.dataForSynapse(4)
self.assertAlmostEqual(permanence, 0.9)
self.assertEqual(len(connections.synapsesForSegment(2)), 1)
# Check segment 3
self.assertEqual(len(connections.synapsesForSegment(3)), 2)
