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Merge branch 'linK_functions2' into devel

Browse source 
Conflicts:
	GPy/core/gp.py
	GPy/core/gp_base.py
	GPy/core/sparse_gp.py
	GPy/examples/regression.py
	GPy/kern/constructors.py
	GPy/kern/parts/coregionalise.py
	GPy/models/__init__.py
	GPy/models/sparse_gp_classification.py
	GPy/util/__init__.py
This commit is contained in:
Ricardo 2013-09-13 15:57:34 +01:00
commit f8c9e6b982
36 changed files with 2144 additions and 404 deletions
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7
GPy/examples/regression.py
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@ -22,8 +22,8 @@ def coregionalisation_toy2(max_iters=100):
Y = np.vstack((Y1, Y2))
k1 = GPy.kern.rbf(1) + GPy.kern.bias(1)
k2 = GPy.kern.coregionalise(2, 1)
k = k1**k2
k2 = GPy.kern.coregionalise(2,1)
k = k1**k2 #k = k1.prod(k2,tensor=True)
m = GPy.models.GPRegression(X, Y, kernel=k)
m.constrain_fixed('.*rbf_var', 1.)
# m.constrain_positive('.*kappa')
@ -90,7 +90,6 @@ def coregionalisation_sparse(max_iters=100):
k1 = GPy.kern.rbf(1)
k2 = GPy.kern.coregionalise(2, 2)
k = k1**k2 #.prod(k2, tensor=True) # + GPy.kern.white(2,0.001)
m = GPy.models.SparseGPRegression(X, Y, kernel=k, Z=Z)
m.constrain_fixed('.*rbf_var', 1.)
m.constrain_fixed('iip')
@ -401,8 +400,6 @@ def silhouette(max_iters=100):
print(m)
return m
def sparse_GP_regression_1D(num_samples=400, num_inducing=5, max_iters=100):
"""Run a 1D example of a sparse GP regression."""
# sample inputs and outputs