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changing all parameterized objects to be compatible with the new parameterization

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This commit is contained in:
Max Zwiessele 2013-10-25 15:29:04 +01:00
parent e1bee4536a
commit d3721b76a8
21 changed files with 645 additions and 529 deletions
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9
GPy/examples/regression.py
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@ -255,7 +255,7 @@ def toy_rbf_1d(optimizer='tnc', max_nb_eval_optim=100):
print(m)
return m
def toy_rbf_1d_50(max_iters=100):
def toy_rbf_1d_50(max_iters=100, optimize=True):
"""Run a simple demonstration of a standard Gaussian process fitting it to data sampled from an RBF covariance."""
data = GPy.util.datasets.toy_rbf_1d_50()
@ -263,14 +263,15 @@ def toy_rbf_1d_50(max_iters=100):
m = GPy.models.GPRegression(data['X'], data['Y'])
# optimize
m.optimize(max_iters=max_iters)
if optimize:
m.optimize(max_iters=max_iters)
# plot
m.plot()
print(m)
return m
def toy_ARD(max_iters=1000, kernel_type='linear', num_samples=300, D=4):
def toy_ARD(max_iters=1000, kernel_type='linear', num_samples=300, D=4, optimize=True):
# Create an artificial dataset where the values in the targets (Y)
# only depend in dimensions 1 and 3 of the inputs (X). Run ARD to
# see if this dependency can be recovered
@ -300,7 +301,7 @@ def toy_ARD(max_iters=1000, kernel_type='linear', num_samples=300, D=4):
# len_prior = GPy.priors.inverse_gamma(1,18) # 1, 25
# m.set_prior('.*lengthscale',len_prior)
m.optimize(optimizer='scg', max_iters=max_iters, messages=1)
if optimize: m.optimize(optimizer='scg', max_iters=max_iters, messages=1)
m.kern.plot_ARD()
print(m)