def playGreedySearch(numTrials, depth):
with open("output", "a") as output:
output.write("running " + str(numTrials) + " greedy search games with depth " + str(depth) + "\n")
tile = DataGroup()
score = DataGroup()
for x in range(0, numTrials):
solver = GreedySearch(depth)
solver.playGame()
recordData(solver, tile, score)
solver = None
printRunData(tile, score, output)
pass
def objectiveFunc(x, *args):
# do 10 runs
# average the results
# return 100 / avg (function is minimizing, we want max)
allScores = 0
setWeights(x)
for i in range(numTrialsPerCall):
solver = GreedySearch(searchDepth)
solver.playGame()
allScores += solver.getScore()
scoreAvg = allScores / numTrialsPerCall
if scoreAvg == 0:
return [np.float(100)]
return [np.float(100 / scoreAvg)]
