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Heaviside transformation fixed

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Ricardo 2013-09-16 16:55:12 +01:00
parent 42589a657a
commit 7e4dca7e3a
4 changed files with 37 additions and 7 deletions
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4
GPy/likelihoods/noise_models/binomial_noise.py
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@ -64,7 +64,7 @@ class Binomial(NoiseDistribution):
if isinstance(self.gp_link,gp_transformations.Probit):
return stats.norm.cdf(mu/np.sqrt(1+sigma**2))
elif isinstance(self.gp_link,gp_transformations.Heaviside):
return stats.norm.cdf(mu/sigma)
return stats.norm.cdf(mu/sigma)
else:
raise NotImplementedError
@ -74,8 +74,6 @@ class Binomial(NoiseDistribution):
else:
raise NotImplementedError
def _mass(self,gp,obs):
#NOTE obs must be in {0,1}
p = self.gp_link.transf(gp)

6
GPy/likelihoods/noise_models/gp_transformations.py
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@ -116,10 +116,10 @@ class Heaviside(GPTransformation):
"""
def transf(self,f):
#transformation goes here
return np.where(f>0, 1, -1)
return np.where(f>0, 1, 0)
def dtransf_df(self,f):
raise NotImplementedError, "this function is not differentiable!"
raise NotImplementedError, "This function is not differentiable!"
def d2transf_df2(self,f):
raise NotImplementedError, "this function is not differentiable!"
raise NotImplementedError, "This function is not differentiable!"