game = RockPaperScissors()
resultFile = open("output.txt", 'w', 0)
resultWriter = csv.writer(resultFile)
resultWriter.writerow(["prediction","actual"])
resultWriter.writerow(["int","int"])
resultWriter.writerow(["",""])
predictionQueue = Queue(maxsize=predictionSteps + 2)
for i in range(predictionSteps):
predictionQueue.put(-1)
count = 0
while count < SIM_COUNT:
player1 = int(random.random() * 3)
player2 = int(random.random() * 3)
scoreBeforeDuel = game.score
result = model.run({
"player1": player1,
"player2": player2,
"scoreBeforeDuel": scoreBeforeDuel
})
futurePrediction = result.inferences["multiStepBestPredictions"][predictionSteps]
predictionQueue.put(futurePrediction)
prediction = predictionQueue.get()
resultWriter.writerow([prediction, game.score])
game.processRound(player1, player2)
if count % 100 == 0:
print "count: " + str(count)
count += 1
model.enableInference({'predictedField': 'winner'})
game = RockPaperScissors()
resultFile = open("output.txt", 'w', 0)
resultWriter = csv.writer(resultFile)
resultWriter.writerow(["prediction","actual","correct"])
resultWriter.writerow(["string","string","string"])
resultWriter.writerow(["","",""])
count = 0
lastWinner = "draw"
while count < SIM_COUNT:
player1 = int(random.random() * 3)
player2 = int(random.random() * 3)
winner = game.processRound(player1, player2)
row = {
"player1": game.roles[player1],
"player2": game.roles[player2],
"winner": lastWinner
}
result = model.run(row)
futurePrediction = result.inferences["multiStepBestPredictions"][predictionSteps]
correct = futurePrediction == winner
# print "{0} {1}: winner: {2}".format(game.roles[player1], game.roles[player2], futurePrediction)
resultWriter.writerow([futurePrediction, winner, correct])
lastWinner = winner
if count % 100 == 0:
print "count: " + str(count)