Python Region.doRound方法代碼示例

# 需要導入模塊: from region import Region [as 別名]
# 或者: from region.Region import doRound [as 別名]
def testCount():
	rows = 5
	cols = 5
	coverage = 20
	numbits = 10
	numRounds = 500
	trainingRounds = numRounds/4
	originalInputVector = InputVector(numbits)
	inputVector = InputVector(0)

	predictions = dict()
	#repeat several times to increase activity:
	for i in range(3):
		inputVector.extendVector(originalInputVector)

	desiredLocalActivity = DESIRED_LOCAL_ACTIVITY

	newRegion = Region(rows,cols,inputVector,coverage,desiredLocalActivity)
	outputVector = newRegion.getOutputVector()
	correctBitPredictions = 0
 
	for round in range(numRounds): # This test executes the CLA for a set number of rounds. 
     
		#print("Round: " + str(round))
		# if (round % 2 == 0):
		# 	val = 682
		# else:
		# 	val = 341
		val = Ultrasonic(brick, PORT_1).get_sample()
		setInput(originalInputVector,val)
		inputString = inputVector.toString()
		outputString = outputVector.toString()
		#print(originalInputVector.toString())
           
		#for bit in originalInputVector.getVector():
		# 	print(bit.bit)
		# print('')
		# print(inputString)


		if outputString in predictions:
			currentPredictionString = predictions[outputString]
		else:
			currentPredictionString = "[New input]"
		pred[outputString] = inputString
		print("Round: %d" % round) # Prints the number of the round
		printStats(inputString, currentPredictionString)
		if (round > trainingRounds):
			correctBitPredictions += stringOverlap(currentPredictionString, predictions[outputString])
				 

		newRegion.doRound()
		printColumnStats(newRegion)
	for key in predictions:
		print("key: " + key + " predictions: " + predictions[key])

	print("Accuracy: " + str(float(correctBitPredictions)/float((30*(numRounds-trainingRounds)))))

# 需要導入模塊: from region import Region [as 別名]
# 或者: from region.Region import doRound [as 別名]
def testCount():
  rows = 5
	cols = 5
	coverage = 20
	numbits = 10 # I may need more bits for my readngs.
	numRounds = 500
	trainingRounds = numRounds/4
	originalInputVector = InputVector(numbits)
	inputVector = InputVector(0)
	predictions = dict()
 
     # Repeat several times to increase activity:
     # Seems to just extend the number of elements in inputVector by numbits (10) 3 times. 
     # Why not extend it by 3*numbits?
     # I think becuase rather than make it 3 times as long, it actually repeats the vector three times,
     # probably so as to, as said above, increase activity in those cells and aid learning. 
     # Good old repartition. In which case, I'm not sure I want to use this in my tests...
	for i in range(3): 
		inputVector.extendVector(originalInputVector)
     
     # Get a non-local variable and feed it to a local one for local manipulation.
	desiredLocalActivity = DESIRED_LOCAL_ACTIVITY
     
     # This sets up a new region, called newRegion,
     # a variable called ouputVector, which calls a method to find just that,
     # and a variable for the number of correct prodicitons, initialised as 0. 
	newRegion = Region(rows,cols,inputVector,coverage,desiredLocalActivity)
	outputVector = newRegion.getOutputVector()
	correctBitPredictions = 0
 
 
      # This is where the action starts. This loop forms the main body of the test.
      # For every time round, an input is given, the CLA updates spacial and temporal 
      # poolers with this new input and an output is found. 
	for round in range(numRounds): 
           # The old version gave two inputs alternatly. The aim was to get the CLA to 
           # predict one of two numbers. 
		#print("Round: " + str(round))
		# if (round % 2 == 0):
		# 	val = 682
		# else:
		# 	val = 341
		val = Ultrasonic(brick, PORT_1).get_sample() # Instead I'm now feeding in readings from the sonar. 
		setInput(originalInputVector,val) # These next few lines convert the inputs and outputs from integers to bitstrings,
		inputString = inputVector.toString() # so that the CLA can handle them. 
		outputString = outputVector.toString()
		#print(originalInputVector.toString())
           
		#for bit in originalInputVector.getVector():
		# 	print(bit.bit)
		# print('')
		# print(inputString)


		if outputString in predictions: # predictions was set up at the start, you might have missed it. 
			currentPredictionString = predictions[outputString]
		else:
			currentPredictionString = "[New input]"
			predictions[outputString] = inputString # I'm sure this line should be here. It's not indented in the origonal. 
   
		print("Round: %d" % round) # Prints the number of the round
		printStats(inputString, currentPredictionString)
  
		if (round > trainingRounds): 
			correctBitPredictions += stringOverlap(currentPredictionString, predictions[outputString])
				 

		newRegion.doRound() # The CLA bit!
		printColumnStats(newRegion) 
  
      
      # With the experiment now over, stat summaries are now printed. 
	for key in predictions:
		print("key: " + key + " predictions: " + predictions[key])
	print("Accuracy: " + str(float(correctBitPredictions)/float(30*(numRounds-trainingRounds))))