def _pdf(self, x):
assert x.shape[-1] == self.mu.size
if x.ndim == 1:
squeeze = True
x = broadcast_to(x, (1, self.mu.size))
else:
squeeze = False
assert x.ndim == 2
d = x - self.mu
d = d.transpose()
p = (
exp(-0.5 * (solve(self.cov, d) * d).sum(axis=0))
/ (2 * np.pi) ** (self.mu.size * 0.5)
/ sqrt(det(self.cov))
)
if squeeze:
p = p.sum()
return p
def _pdf(self, x):
return (exp(-0.5 * square(
(x - self.mu) / self.std)) / sqrt(2 * np.pi) / self.std)
def _pdf(self, x):
return self.rate * exp(-self.rate * x)
def _pdf(self, x):
gauss = (
exp(-0.5 * square((x - self.mu) / self.std))
/ sqrt(2 * np.pi) / self.std
)
return (self.coef * gauss).sum(axis=self.axis)
def _pdf(self, x):
return (self.rate**self.shape * x**(self.shape - 1) *
exp(-self.rate * x) / gamma(self.shape))
def _pdf(self, x):
return 0.5 * exp(-abs(x - self.loc) / self.scale) / self.scale