コード例 #1
0
    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)
コード例 #2
0
 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)
コード例 #3
0
 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)