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[priors] InverseGamma fix with singleton

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This commit is contained in:
Max Zwiessele 2014-10-03 09:41:08 +01:00
parent 4018832be5
commit d086c7ee3f
1 changed files with 2 additions and 6 deletions
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8
GPy/core/parameterization/priors.py
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@ -188,11 +188,6 @@ class MultivariateGaussian:
from ..plotting.matplot_dep import priors_plots from ..plotting.matplot_dep import priors_plots
priors_plots.multivariate_plot(self) priors_plots.multivariate_plot(self)
def gamma_from_EV(E, V):
warnings.warn("use Gamma.from_EV to create Gamma Prior", FutureWarning)
return Gamma.from_EV(E, V)
class Gamma(Prior): class Gamma(Prior):
""" """
Implementation of the Gamma probability function, coupled with random variables. Implementation of the Gamma probability function, coupled with random variables.
@ -254,7 +249,7 @@ class Gamma(Prior):
b = E / V b = E / V
return Gamma(a, b) return Gamma(a, b)
class inverse_gamma(Prior): class InverseGamma(Prior):
""" """
Implementation of the inverse-Gamma probability function, coupled with random variables. Implementation of the inverse-Gamma probability function, coupled with random variables.
@ -265,6 +260,7 @@ class inverse_gamma(Prior):
""" """
domain = _POSITIVE domain = _POSITIVE
_instances = []
def __new__(cls, a, b): # Singleton: def __new__(cls, a, b): # Singleton:
if cls._instances: if cls._instances:
cls._instances[:] = [instance for instance in cls._instances if instance()] cls._instances[:] = [instance for instance in cls._instances if instance()]