本文整理汇总了Python中Testing.stDeviation方法的典型用法代码示例。如果您正苦于以下问题：Python Testing.stDeviation方法的具体用法？Python Testing.stDeviation怎么用？Python Testing.stDeviation使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Testing的用法示例。
在下文中一共展示了Testing.stDeviation方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: max
# 需要导入模块: import Testing [as 别名]
# 或者: from Testing import stDeviation [as 别名]
import Testing
import NeuralNetUtil
import NeuralNet
print "----------------- testPenData --------------------"
i = 0
acclist = []
while i < 5:
print "running iteration #", i+1
nnet, testAccuracy = Testing.testPenData()
acclist.append(testAccuracy)
i = i + 1
print "Iterations finished"
print "accuracy average:", Testing.average(acclist)
print "accuracy standard deviation:", Testing.stDeviation(acclist)
print "max accuracy:", max(acclist)
print "----------------- testCarData --------------------"
i = 0
acclist = []
while i < 5:
print "running iteration #", i+1
nnet, testAccuracy = Testing.testCarData()
acclist.append(testAccuracy)
i = i + 1
print "Iteration finished"
print "accuracy average:", Testing.average(acclist)
print "accuracy standard deviation:", Testing.stDeviation(acclist)
print "max accuracy:", max(acclist)示例2: max
# 需要导入模块: import Testing [as 别名]
# 或者: from Testing import stDeviation [as 别名]
import Testing
import NeuralNetUtil
import NeuralNet
n = 0
print "~~~~~~~~~~~~~~~~~~~~~~~TestCarData~~~~~~~~~~~~~~~~~~~~~~~"
while n <= 40:
c = 0
carList = []
print "------- #", n, "neurons per hidden layer -------"
while c < 5:
print "Iteration #", c + 1
car_Net, car_test = Testing.buildNeuralNet(Testing.carData, maxItr = 200, hiddenLayerList = [n])
carList.append(car_test)
c += 1
print "Iteration result:"
print "Accuracy standard deviation", Testing.stDeviation(carList)
print "Accuracy average:", Testing.average(carList)
print "Max Accuracy:", max(carList)
n += 5
示例3: max
# 需要导入模块: import Testing [as 别名]
# 或者: from Testing import stDeviation [as 别名]
import Testing
import NeuralNetUtil
import NeuralNet
n = 0
while True:
print "------ #", n, "neurons per hidden layer ------"
x = 0
xorList = []
while x < 5:
print "Iteration #", x + 1
xor_Net, xor_test = NeuralNet.buildNeuralNet(Testing.xorData, maxItr = 200, hiddenLayerList = [n])
xorList.append(xor_test)
x += 1
print "Iteration result:"
print "Accuracy standard deviation:", Testing.stDeviation(xorList)
print "Accuracy average:", Testing.average(xorList)
print "Max accuracy:", max(xorList)
if Testing.average(xorList) == 1:
break
n += 1