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Merge branch 'devel' of github.com:SheffieldML/GPy into devel

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Alan Saul 2015-09-08 15:53:59 +01:00
commit 92b880bf4b
46 changed files with 626 additions and 373 deletions
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2
GPy/models/gp_kronecker_gaussian_regression.py
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@ -1,5 +1,5 @@
# Copyright (c) 2014, James Hensman, Alan Saul
# Distributed under the terms of the GNU General public License, see LICENSE.txt
# Licensed under the BSD 3-clause license (see LICENSE.txt)
import numpy as np
from ..core.model import Model

6
GPy/models/gp_regression.py
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@ -26,12 +26,12 @@ class GPRegression(GP):
"""
def __init__(self, X, Y, kernel=None, Y_metadata=None, normalizer=None, noise_var=1.):
def __init__(self, X, Y, kernel=None, Y_metadata=None, normalizer=None, noise_var=1., mean_function=None):
if kernel is None:
kernel = kern.RBF(X.shape[1])
likelihood = likelihoods.Gaussian(variance=noise_var)
super(GPRegression, self).__init__(X, Y, kernel, likelihood, name='GP regression', Y_metadata=Y_metadata, normalizer=normalizer)
super(GPRegression, self).__init__(X, Y, kernel, likelihood, name='GP regression', Y_metadata=Y_metadata, normalizer=normalizer, mean_function=mean_function)

2
GPy/models/gp_var_gauss.py
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@ -1,5 +1,5 @@
# Copyright (c) 2014, James Hensman, Alan Saul
# Distributed under the terms of the GNU General public License, see LICENSE.txt
# Licensed under the BSD 3-clause license (see LICENSE.txt)
import numpy as np
from ..core import GP

2
GPy/models/gplvm.py
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@ -36,8 +36,10 @@ class GPLVM(GP):
likelihood = Gaussian()
super(GPLVM, self).__init__(X, Y, kernel, likelihood, name='GPLVM')
self.X = Param('latent_mean', X)
self.link_parameter(self.X, index=0)
self._predictive_variable = self.X
def parameters_changed(self):
super(GPLVM, self).parameters_changed()