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Removing unnecessary stuff...

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Ricardo 2013-09-20 16:43:00 +01:00
parent c129b98b3b
commit 40e4f19187
6 changed files with 29 additions and 57 deletions
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16
GPy/likelihoods/noise_models/binomial_noise.py
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@ -1,6 +1,7 @@
# Copyright (c) 2012, 2013 Ricardo Andrade
# Licensed under the BSD 3-clause license (see LICENSE.txt)
import numpy as np
from scipy import stats,special
import scipy as sp
@ -116,18 +117,3 @@ class Binomial(NoiseDistribution):
def _d2variance_dgp2(self,gp):
return self.gp_link.d2transf_df2(gp)*(1. - 2.*self.gp_link.transf(gp)) - 2*self.gp_link.dtransf_df(gp)**2
"""
def predictive_values(self,mu,var): #TODO remove
mu = mu.flatten()
var = var.flatten()
#mean = stats.norm.cdf(mu/np.sqrt(1+var))
mean = self._predictive_mean_analytical(mu,np.sqrt(var))
norm_025 = [stats.norm.ppf(.025,m,v) for m,v in zip(mu,var)]
norm_975 = [stats.norm.ppf(.975,m,v) for m,v in zip(mu,var)]
#p_025 = stats.norm.cdf(norm_025/np.sqrt(1+var))
#p_975 = stats.norm.cdf(norm_975/np.sqrt(1+var))
p_025 = self._predictive_mean_analytical(norm_025,np.sqrt(var))
p_975 = self._predictive_mean_analytical(norm_975,np.sqrt(var))
return mean[:,None], np.nan*var, p_025[:,None], p_975[:,None] # TODO: var
"""