def getGuessFitnessScores(self):
guessesAndFitness = []
currentOptionCount = len(self.board)
for option in getBoardAsList():
# calculate how much a yes or no would reduce our option set, then apply the fitness function to that
noReduction = len(
self.stripBoardOfItemsWithAnythingInCommon(
option, self.board)) / currentOptionCount
yesReduction = len(
self.stripBoardOfItemsWithNothingInCommon(
option, self.board)) / currentOptionCount
knownWrong = self.getKnownWrongAttributes(option) / 4
yesLikelihoodFuzzy = self.getYesLikelihoodFuzzy(option) / 4
guessesAndFitness.append({
'cell':
option,
'fitness':
self.fitnessFunc(yesReduction, noReduction, knownWrong,
yesLikelihoodFuzzy),
})
# for guess in guessesAndFitness:
# print(guess)
return guessesAndFitness
def __init__(self):
self.board = getBoardAsList()
self.usedInAnnealing = []
self.yes = []
self.no = []
# used for testing different fitness functions
# default finds yes and no with lowest range
# i.e. closest to .5
# i.e. gives most balanced performance for either a yes or no answer
self.fitnessFunc = lambda yes, no: abs(yes - no)
# how bold we want to be -- randomly pick an answer when we have this or fewer options left
# 1 == certainty
self.answerAtNOptions = 1
def getGuessFitnessScores(self):
guessesAndFitness = []
currentOptionCount = len(self.board)
for option in getBoardAsList():
# calculate how much a yes or no would reduce our option set, then apply the fitness function to that
noReduction = len(
self.stripBoardOfItemsWithAnythingInCommon(
option, self.board)) / currentOptionCount
yesReduction = len(
self.stripBoardOfItemsWithNothingInCommon(
option, self.board)) / currentOptionCount
guessesAndFitness.append({
'cell':
option,
'fitness':
self.fitnessFunc(yesReduction, noReduction),
})
return guessesAndFitness
def __init__(self):
self.board = getBoardAsList()
self.usedInAnnealing = []
self.yes = []
self.no = []
# used for testing different fitness functions
# default finds yes and no with lowest range
# i.e. closest to .5
# i.e. gives most balanced performance for either a yes or no answer
self.fitnessFunc = lambda yes, no, knownWrong, knownRight: abs(
yes - no) # 8.6
# self.fitnessFunc = lambda yes, no, knownWrong, knownRight: abs(yes - min(no * knownWrong, no)) # 12.13
# self.fitnessFunc = lambda yes, no, knownWrong, knownRight: abs(yes - (no * knownWrong)) # 12.09
# self.fitnessFunc = lambda yes, no, knownWrong, yesFuzzy: abs((yes * yesFuzzy) - (no * knownWrong)) # 9.49
# how bold we want to be -- randomly pick an answer when we have this or fewer options left
# 1 == certainty
self.answerAtNOptions = 4
def __init__(self):
self.board = getBoardAsList()
print(len(self.board))
self.yes = []
self.no = []