def __init__(self, name=None, fname=None, numgames=None, qbName=None):
self.team_name = name
self.score = 0
self.runModel = None
self.n_neighbors = 5
self.qbNames = map(str, rosters[name]['QB'])
self.DEF_STATS = None
self.PassData = data_ops.PassData(
'./data/2013_nfl_pbp_through_wk_12.csv')
if fname is not None:
#print "getting models with data: " + fname
self.getRunModel(fname)
self.learnFromPastGames(fname, numgames, self.qbNames)
#self.knn = learn.learnKNN( self.allXdata, self.allYdata, n=5)
self.knn = learn.learnKNN(self.teamRunningX,
self.teamRunningY,
n=5)
ydata = []
xdata = []
for e in self.passplays:
#get knn for completions only
if e[-1] != 0:
xdata.append(e[0:-1])
ydata.append(e[-1])
self.passKNN = learn.learnKNN(xdata, ydata, n=3)
def __init__(self,team_1=None, team_2=None,
classifiers=None):
random.seed()
self.playcounts = {"Run":0,"Pass":0}
self.team_1 = None
self.team_2 = None
self.game_classifiers = classifiers
score = {}
score[self.team_1] = 0
score[self.team_2] = 0
self.score = score
self.game_stats = {}
self.yards_to_first_down = 10
self.yards_to_toucdown = 80
self.yardline = 80
self.down = 1
self.O = None
self.D = None
self.series_first_down = 0
self.time_left_this_quarter = 900
self.time_left_this_game = 4*900
self. quarter = 1
self.winner = None
self.switchOffense = False
self.turn_over_on_downs = False
self.scored = False
self.summary = []
self.n_neighbors = 6
self.R = data_ops.RunData('2013_nfl_pbp_through_wk_12.csv')
self.runX,self.runY = self.R.RunTrainData()
self.knn = learn.learnKNN(self.runX, self.runY,self.n_neighbors)
def __init__(self, name=None, fname=None, numgames=None, qbName=None ):
self.team_name = name
self.score = 0
self.runModel = None
self.n_neighbors = 5
self.qbNames = map(str,rosters[name]['QB'])
self.DEF_STATS = None
self.PassData = data_ops.PassData('./data/2013_nfl_pbp_through_wk_12.csv')
if fname is not None:
#print "getting models with data: " + fname
self.getRunModel(fname)
self.learnFromPastGames(fname,numgames,self.qbNames)
#self.knn = learn.learnKNN( self.allXdata, self.allYdata, n=5)
self.knn = learn.learnKNN( self.teamRunningX, self.teamRunningY, n=5)
ydata = []
xdata = []
for e in self.passplays:
#get knn for completions only
if e[-1] != 0:
xdata.append(e[0:-1])
ydata.append(e[-1])
self.passKNN = learn.learnKNN( xdata, ydata,n=3)