mirror of
https://github.com/SheffieldML/GPy.git
synced 2026-05-18 13:55:14 +02:00
error bars fixed
This commit is contained in:
parent
485665241f
commit
f1e3cfaed0
1 changed files with 5 additions and 3 deletions
|
|
@ -53,9 +53,11 @@ class probit(likelihood_function):
|
|||
mu = mu.flatten()
|
||||
var = var.flatten()
|
||||
mean = stats.norm.cdf(mu/np.sqrt(1+var))
|
||||
p_025 = np.zeros(mu.shape)
|
||||
p_975 = np.ones(mu.shape)
|
||||
return mean, np.nan*var, p_025, p_975 # TODO: better values here (mean is okay)
|
||||
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))
|
||||
return mean, np.nan*var, p_025, p_975 # TODO: var
|
||||
|
||||
class Poisson(likelihood_function):
|
||||
"""
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue