def calculate_x_y(self):
try:
variables = np.load('Games/' + 'MLRxy.npz')
self.x = variables['arr_0'] # init
self.y = variables['arr_1']
self.x_max = self.x.max(axis=0)
self.x_min = self.x.min(axis=0)
except:
obj = MLR()
obj.Extract() # bring the independent variables (X)
obj.Y() # bring in the dependent variable (y)
#total_attr = 13 # add all the 2nd dimensions of each attributes
obj.X() # combine all the independent variables to one
self.x = obj.x # init
self.y = obj.y # init
self.x_max = self.x.max(axis=0)
self.x_min = self.x.min(axis=0)
obj.save()
temp = np.ones(shape=(40, 1))
self.x = np.concatenate(
(self.x, temp), axis=1
) # 40 by 13+1 where last column has all value as ones... to obtain a constant-beta value
return
