def calc(self):
y = self.y
y2 = y * y
self.y_sum = y_sum = sum(y)
y2_sum = sum(y2)
if not self.star:
yl = 1.0 * slag(self.w, y)
ydi = y_sum - y
self.Gs = yl / ydi
N = self.n - 1
yl_mean = ydi / N
s2 = (y2_sum - y2) / N - (yl_mean)**2
else:
self.w.transform = "B"
yl = 1.0 * slag(self.w, y)
yl += y
if self.w_transform == "r":
yl = yl / (self.__getCardinalities() + 1.0)
self.Gs = yl / y_sum
N = self.n
yl_mean = y.mean()
s2 = y.var()
EGs_num, VGs_num = 1.0, 1.0
if self.w_transform == "b":
W = self.__getCardinalities()
W += self.star
EGs_num = W * 1.0
VGs_num = (W * (1.0 * N - W)) / (1.0 * N - 1)
self.EGs = (EGs_num * 1.0) / N
self.VGs = (VGs_num) * (1.0 / (N**2)) * ((s2 * 1.0) / (yl_mean**2))
self.Zs = (self.Gs - self.EGs) / np.sqrt(self.VGs)
self.w.transform = self.w_original
def calc(self):
y = self.y
y2 = y * y
self.y_sum = y_sum = sum(y)
y2_sum = sum(y2)
if not self.star:
yl = 1.0 * slag(self.w, y)
ydi = y_sum - y
self.Gs = yl / ydi
N = self.n - 1
yl_mean = ydi / N
s2 = (y2_sum - y2) / N - (yl_mean) ** 2
else:
self.w.transform = 'B'
yl = 1.0 * slag(self.w, y)
yl += y
if self.w_transform == 'r':
yl = yl / (self.__getCardinalities() + 1.0)
self.Gs = yl / y_sum
N = self.n
yl_mean = y.mean()
s2 = y.var()
EGs_num, VGs_num = 1.0, 1.0
if self.w_transform == 'b':
W = self.__getCardinalities()
W += self.star
EGs_num = W * 1.0
VGs_num = (W * (1.0 * N - W)) / (1.0 * N - 1)
self.EGs = (EGs_num * 1.0) / N
self.VGs = (VGs_num) * (1.0 / (N ** 2)) * ((s2 * 1.0) / (yl_mean ** 2))
self.Zs = (self.Gs - self.EGs) / np.sqrt(self.VGs)
self.w.transform = self.w_original
def __calc(self, y):
yl = slag(self.w, y)
self.num = y * yl
return self.num.sum() / self.den_sum
def __calc(self, y):
yl = slag(self.w, y)
self.num = y * yl
return self.num.sum() / self.den_sum