def _temporal_phase3(htm, updateSegments):
'Phase 3, p42'
for cell in htm.cells:
if cell.learning:
for synapseStates in updateSegments[cell]:
Segment.adapt_up(synapseStates)
updateSegments.reset(cell)
elif not cell.predicting and cell.predicted:
for synapseStates in updateSegments[cell]:
Segment.adapt_down(synapseStates)
updateSegments.reset(cell)
return updateSegments
def _temporal_phase3(htm, updateSegments):
'Phase 3, p42'
for cell in htm.cells:
if cell.learning:
for synapseStates in updateSegments[cell]:
Segment.adapt_up(synapseStates)
updateSegments.reset(cell)
elif not cell.predicting and cell.predicted:
for synapseStates in updateSegments[cell]:
Segment.adapt_down(synapseStates)
updateSegments.reset(cell)
return updateSegments
def testAdaptation(self):
seg = Segment()
#for now, just don't crash
seg.adapt_up([])
seg.adapt_down([])
def testAdaptation(self):
seg = Segment()
#for now, just don't crash
seg.adapt_up([])
seg.adapt_down([])
