def cards_to_state(dealer_cards, player_cards, revealed_cards, only_one_dealer_card=True):
dealer_cards_interested_in = [dealer_cards[0]] if only_one_dealer_card else dealer_cards
player_value = Blackjack.get_card_value(player_cards)
dealer_value = Blackjack.get_card_value(dealer_cards_interested_in)
assert player_value >= 4
assert dealer_value >= 2
return player_value - 1, dealer_value - 1
def cards_to_state(dealer_cards, player_cards, revealed_cards, only_one_dealer_card=True):
dealer_cards_interested_in = [dealer_cards[0]] if only_one_dealer_card else dealer_cards
counts = count_cards(revealed_cards)
s = np.zeros([1, 15])
s[0, 0] = Blackjack.get_card_value(player_cards)
s[0, 1] = Blackjack.get_card_value(dealer_cards_interested_in)
for number in range(13):
s[0, 2 + number] = counts[number]
return s
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)
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
Total = wins + loses
print (wins/Total)
clf_entropy.fit(X, Y)
# Playing With an information gain Decision Tree 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 = clf_entropy.predict_proba(
[outc_W_hit]
) #order of this output is [-1 0 1] thanks to mnb.classes_ attribute output
preds_Wout_hit = clf_entropy.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(
