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some tidying in the likelihood classes

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James Hensman 2013-02-01 09:47:30 +00:00
parent 3a558d8244
commit 7dfbcebb87
6 changed files with 364 additions and 369 deletions
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14
GPy/likelihoods/likelihood_functions.py
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@ -8,18 +8,18 @@ import scipy as sp
import pylab as pb
from ..util.plot import gpplot
class likelihood:
class likelihood_function:
"""
Likelihood class for doing Expectation propagation
:param Y: observed output (Nx1 numpy.darray)
..Note:: Y values allowed depend on the likelihood used
..Note:: Y values allowed depend on the likelihood_function used
"""
def __init__(self,location=0,scale=1):
self.location = location
self.scale = scale
class probit(likelihood):
class probit(likelihood_function):
"""
Probit likelihood
Y is expected to take values in {-1,1}
@ -29,7 +29,7 @@ class probit(likelihood):
$$
"""
def __init__(self,location=0,scale=1):
likelihood.__init__(self,Y,location,scale)
likelihood_function.__init__(self,Y,location,scale)
def moments_match(self,data_i,tau_i,v_i):
"""
@ -64,7 +64,7 @@ class probit(likelihood):
def _log_likelihood_gradients():
return np.zeros(0) # there are no parameters of whcih to compute the gradients
class poisson(likelihood):
class poisson(likelihood_function):
"""
Poisson likelihood
Y is expected to take values in {0,1,2,...}
@ -75,7 +75,7 @@ class poisson(likelihood):
"""
def __init__(self,Y,location=0,scale=1):
assert len(Y[Y<0]) == 0, "Output cannot have negative values"
likelihood.__init__(self,Y,location,scale)
likelihood_function.__init__(self,Y,location,scale)
def moments_match(self,i,tau_i,v_i):
"""
@ -160,7 +160,7 @@ class poisson(likelihood):
if Z is not None:
pb.plot(Z,Z*0+pb.ylim()[0],'k|',mew=1.5,markersize=12)
class gaussian(likelihood):
class gaussian(likelihood_function):
"""
Gaussian likelihood
Y is expected to take values in (-inf,inf)