def datacoll(num_games):
wins = 0
pushes = 0
loses = 0
blackjack = Blackjack()
Data_coll = [] #initialize the data set for my bayes method
for _ in range(num_games):
finished, result, dealer_cards, player_cards = blackjack.play_game(Blackjack.ACTION["start"]) #I can name these output variables differently and create my output data differently
hit_count = 0
game_data = [Blackjack.get_card_value(player_cards),Blackjack.get_card_value([dealer_cards[0]]),result,hit_count,_+1]
Data_coll.append(game_data)
while not finished:
action = random.choice([Blackjack.ACTION["hit"], Blackjack.ACTION["hold"]])
finished, result, dealer_cards, player_cards = blackjack.play_game(action)
if action == Blackjack.ACTION["hit"]:
hit_count += 1
Data_coll.append([Blackjack.get_card_value(player_cards),Blackjack.get_card_value([dealer_cards[0]]),result,hit_count,_+1])
else:
Data_coll.append([Blackjack.get_card_value(player_cards),Blackjack.get_card_value([dealer_cards[0]]),result,hit_count,_+1])
wins += 1 if result == Blackjack.RESULT["win"] else 0
pushes += 1 if result == Blackjack.RESULT["push"] else 0
loses += 1 if result == Blackjack.RESULT["lose"] else 0
return (Data_coll)
class BlackjackEnv():
def __init__(self):
self._seed = None
self._blackjack = None
self.reset()
def seed(self, seed=None):
self._seed = seed
def reset(self):
self._blackjack = Blackjack(self._seed)
def deal(self):
_, _, dealer_cards, player_cards, revealed_cards = self._blackjack.play_game(Blackjack.ACTION["start"])
return dealer_cards, player_cards, revealed_cards
def step(self, action):
assert action in Blackjack.ACTION.values()
action = Blackjack.ACTION["hold"] if action == 0 else Blackjack.ACTION["hit"]
finished, result, dealer_cards, player_cards, revealed_cards = self._blackjack.play_game(action)
reward = BlackjackEnv._calculate_reward(finished, result, player_cards)
return [dealer_cards, player_cards, revealed_cards], reward, finished, [result]
@staticmethod
def _calculate_reward(finished, result, player_cards):
if finished and result == Blackjack.RESULT["lose"]:
# Player lost
return -100
elif finished and result == Blackjack.RESULT["win"]:
# Player won
return 100
elif finished and result == Blackjack.RESULT["push"]:
# Push
return -25
elif not finished:
# Still in the middle of a hand
return 0
import random
import sys
from Blackjack import Blackjack
num_games = int(float(sys.argv[1]))
wins = 0
pushes = 0
loses = 0
blackjack = Blackjack()
for _ in range(num_games):
finished, result, dealer_cards, player_cards = blackjack.play_game(
Blackjack.ACTION["start"])
while not finished:
action = random.choice(
[Blackjack.ACTION["hit"], Blackjack.ACTION["hold"]])
finished, result, dealer_cards, player_cards = blackjack.play_game(
action)
wins += 1 if result == Blackjack.RESULT["win"] else 0
pushes += 1 if result == Blackjack.RESULT["push"] else 0
loses += 1 if result == Blackjack.RESULT["lose"] else 0
print("wins:\t{}".format(wins))
print("pushes\t{}".format(pushes))
print("loses:\t{}".format(loses))
# Initialize our classifier
mnb = MultinomialNB()
# Train our classifier
model = mnb.fit(Data, outcome)
# Playing With NB.Multinomial Classifier
num_games_test = 1000
wins = 0
pushes = 0
loses = 0
blackjack = Blackjack()
for _ in range(num_games_test):
finished, result, dealer_cards, player_cards = blackjack.play_game(Blackjack.ACTION["start"]) #I can name these output variables differently and create my output data differently
while not finished:
outc_W_hit = [Blackjack.get_card_value(player_cards),Blackjack.get_card_value([dealer_cards[0]]),1]
outc_Wout_hit = [Blackjack.get_card_value(player_cards),Blackjack.get_card_value([dealer_cards[0]]),0]
preds_W_hit = mnb.predict_proba([outc_W_hit]) #order of this output is [-1 0 1] thanks to mnb.classes_ attribute output
preds_Wout_hit = mnb.predict_proba([outc_Wout_hit])
if preds_W_hit[0][2] > preds_Wout_hit[0][2]:
finished, result, dealer_cards, player_cards = blackjack.play_game(Blackjack.ACTION["hit"])
else:
finished, result, dealer_cards, player_cards = blackjack.play_game(Blackjack.ACTION["hold"])
wins += 1 if result == Blackjack.RESULT["win"] else 0
pushes += 1 if result == Blackjack.RESULT["push"] else 0
loses += 1 if result == Blackjack.RESULT["lose"] else 0
# Machine Learning Winning Percentage
