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sparse GP regression now working on this branch

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This commit is contained in:
James Hensman 2012-11-30 11:47:35 +00:00
parent 5ba2099ee9
commit ba84a43ea3
5 changed files with 34 additions and 26 deletions
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4
GPy/examples/sparse_GP_regression_demo.py
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@ -21,7 +21,7 @@ X = np.random.uniform(-3.,3.,(N,1))
Y = np.sin(X)+np.random.randn(N,1)*0.05
# construct kernel
rbf = GPy.kern.Matern52(1)
rbf = GPy.kern.rbf(1)
noise = GPy.kern.white(1)
kernel = rbf + noise
@ -37,7 +37,7 @@ m1.constrain_positive('(variance|lengthscale|precision)')
#check gradient FIXME unit test please
m1.checkgrad()
# optimize and plot
m1.optimize('bfgs', messages = 1)
m1.optimize('tnc', messages = 1)
m1.plot()
# print(m1)