def ask_player_mode(number, chips, bet_value, model):
print "Player" + str(number) + " Mode : "
print " 1 : Manual player (You play)"
print " 2 : Random Agent"
print " 3 : All-In Agent"
print " 4 : Bucket_Agent"
print " 5 : Bayesian Agent ( with pre-computed model )"
print " 6 : Learning Agent "
print " 7 : Regret-Minimization Agent"
x = raw_input(" What mode ? [1-7] : ")
gamer = None
if x == "1":
gamer = player("player" + str(number), chips)
elif x == "2":
gamer = random_agent("player" + str(number), chips)
elif x == "3":
gamer = All_In_Agent("player" + str(number), chips)
elif x == "4":
gamer = Agent_Bucket("player" + str(number), chips)
elif x == "5":
gamer = bayesian("player" + str(number), chips, list(model))
elif x == "6":
gamer = LearningAgent("player" + str(number), chips, 2)
elif x == "7":
gamer = Regret_Agent("player" + str(number), chips, bet_value)
else:
return False
return gamer
def handleCmd4(self):
# Loading
load = self.canvas.create_text(430, 10, text="Loading...")
dep = tkSimpleDialog.askstring(
"Naive Bayes", "Please specify dependent variable (browser, location, time, or OS):"
)
if dep == False or dep == None or self.dataSet == False:
print "User did not specify a variable, or no data set is loaded"
self.canvas.delete(load)
return
dep = dep.lower()
if dep != "browser" and dep != "location" and dep != "time" and dep != "os":
doneMessage = self.canvas.create_text(370, 30, text="Invalid variable name.")
tkMessageBox.showinfo(title="1R Decision Tree", message="Invalid variable name.")
self.canvas.delete(doneMessage)
self.canvas.delete(load)
return
else:
doneMessage = self.canvas.create_text(350, 30, text="Loaded Bayes classifier: " + dep + " prediction.")
self.bayes = bayesian.bayesian(self.dataSet, self.dataSet, dep)
self.canvas.delete(load)
self.canvas.delete(doneMessage)
def handleCmd6(self):
# Loading
load = self.canvas.create_text(430, 10, text="Loading...")
if self.dataSet == False:
print "No data set loaded"
self.canvas.delete(load)
return
# Get Training Set (Open Dialog)
tkMessageBox.showinfo(title="Train and Test (Bayes)", message="Please select a training set.")
fobj = tkFileDialog.askopenfile(parent=self.root, mode="rb", title="Choose a data file")
if fobj == None:
print "User did not select a file"
self.canvas.delete(load)
return
csData = CSLogData.CSLogDataClass(fobj, True)
csData.cleanData()
# just close the file for now
print "closing file"
fobj.close()
# Construct metadata
metadata = [
["ipLocation", {"dict": False, "tslate": True, "vals": {0: "off campus", 1: "on campus"}}],
["dateTime", {"dict": False, "tslate": False, "vals": False}],
["time", {"dict": False, "tslate": False, "vals": False}],
[
"referrer",
{"dict": False, "tslate": True, "vals": {0: "no referrer", 1: "from colby", 2: "outside source"}},
],
["statusCode", {"dict": False, "tslate": False, "vals": False}],
["pageSize", {"dict": False, "tslate": False, "vals": False}],
["httpVersion", {"dict": False, "tslate": True, "vals": {10: "HTTP/1.0", 11: "HTTP/1.1"}}],
["accessedPage", {"dict": True, "tslate": False, "vals": False}],
["userAgent", {"dict": True, "tslate": False, "vals": False}],
]
self.trainSet = DataSet.DataSet(csData.lines, metadata)
self.trainSet.toMatrix()
# Get dependent variable
dep = tkSimpleDialog.askstring(
"Naive Bayes", "Please specify dependent variable (browser, location, time, or OS):"
)
if dep == False or self.dataSet == False:
print "User did not specify a variable, or no data set is loaded"
self.canvas.delete(load)
return
dep = dep.lower()
if dep != "browser" and dep != "location" and dep != "time" and dep != "os":
doneMessage = self.canvas.create_text(370, 30, text="Invalid variable name.")
tkMessageBox.showinfo(title="1R Decision Tree", message="Invalid variable name.")
self.canvas.delete(doneMessage)
self.canvas.delete(load)
return
else:
doneMessage = self.canvas.create_text(350, 30, text="Loaded Bayes classifier: " + dep + " prediction.")
# Use Bayesian.py (add dataset2 loc and so on)
self.bayes = bayesian.bayesian(self.dataSet, self.trainSet, dep)
self.canvas.delete(load)
from analysis import analyze
sys.path.insert(0, './ridge')
from ridge import ridge
sys.path.insert(0, './lasso')
from lasso import lasso
sys.path.insert(0, './bayesian')
from bayesian import bayesian
sys.path.insert(0, './SVR')
from svr import svr
start = time.time()
ridge(sys.argv[1],sys.argv[2])
ridge_end = time.time()
lasso(sys.argv[1],sys.argv[2])
lasso_end = time.time()
bayesian(sys.argv[1],sys.argv[2])
bayesian_end = time.time()
svr(sys.argv[1],sys.argv[2])
svr_end = time.time()
print "Ridge Results"
print "Running Time: "+str(ridge_end-start)+" seconds"
analyze("ridge_out.csv")
print "---"
print "Lasso Results"
print "Running Time: "+str(lasso_end-ridge_end)+" seconds"
analyze("lasso_out.csv")
print "---"
print "Bayesian Results"
print "Running Time: "+str(bayesian_end-lasso_end)+" seconds"
analyze("bayesian_out.csv")
