Python square Examples

Example #1

File: gaussian.py Project: NicholasYY/PRML

 def var(self):
     try:
         return self._var
     except AttributeError:
         return square(self.std)

Example #2

File: cauchy.py Project: andresmasegosa/PRML-CoreSets

 def _pdf(self, x):
     return (1 / (np.pi * self.scale * (1 + square(
         (x - self.loc) / self.scale))))

Example #3

File: gaussian.py Project: NicholasYY/PRML

 def tau(self):
     try:
         return self._tau
     except AttributeError:
         return 1 / square(self.std)

Example #4

File: gaussian.py Project: NicholasYY/PRML

 def _pdf(self, x):
     return (
         exp(-0.5 * square((x - self.mu) / self.std))
         / sqrt(2 * np.pi) / self.std
     )

Example #5

 def forward(self):
     eps = normal(0, 1, (self.ndim, ) + self.std.shape)
     return sqrt(square(self.std * eps).sum(axis=0))

Example #6

 def _log_pdf(self, x):
     return ((self.ndim - 1) * log(x) - 0.5 * square(x / self.std) -
             self.ndim * log(self.std) - np.log(sp.gamma(0.5 * self.ndim)))

Example #7

File: gaussian_mixture.py Project: andresmasegosa/PRML-CoreSets

 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)

Example #8

File: cauchy.py Project: NicholasYY/PRML

 def _log_pdf(self, x):
     return (
         -np.log(np.pi)
         - log(self.scale)
         - log(1 + square((x - self.loc) / self.scale))
     )

Example #9

 def _pdf(self, x):
     return (exp(-0.5 * square(
         (x - self.mu) / self.std)) / sqrt(2 * np.pi) / self.std)

Example #10

 def var(self):
     try:
         return self._var
     except AttributeError:
         return square(self.std)

Example #11

 def tau(self):
     try:
         return self._tau
     except AttributeError:
         return 1 / square(self.std)

Example #12

File: gaussian_mixture.py Project: NicholasYY/PRML

 def var(self):
     return square(self.parameter["std"])

Example #13

File: gaussian_mixture.py Project: NicholasYY/PRML

 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)

Example #14

File: cauchy.py Project: andresmasegosa/PRML-CoreSets

 def _log_pdf(self, x):
     return (-np.log(np.pi) - log(self.scale) -
             log(1 + square((x - self.loc) / self.scale)))

Example #15

File: gaussian_mixture.py Project: andresmasegosa/PRML-CoreSets

 def var(self):
     return square(self.parameter["std"])

Example #16

File: kl.py Project: luyang1210/ppml

def kl_gaussian(q, p):
    qvar = square(q.std)
    pvar = square(p.std)
    return log(p.std) - log(q.std) + 0.5 * (qvar + square(p.mean - q.mean)) / pvar - 0.5

Example #17

File: cauchy.py Project: NicholasYY/PRML

 def _pdf(self, x):
     return (
         1 / (np.pi * self.scale * (1 + square((x - self.loc) / self.scale)))
     )