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added simple BGPLVM_oil demo

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This commit is contained in:
James Hensman 2013-04-09 15:43:06 +01:00
parent 0af208c1b6
commit bb734a6dd7
1 changed files with 22 additions and 2 deletions
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24
GPy/examples/dimensionality_reduction.py
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@ -42,16 +42,36 @@ def BGPLVM(seed = default_seed):
return m
def GPLVM_oil_100():
def GPLVM_oil_100(optimize=True,M=15):
data = GPy.util.datasets.oil_100()
# create simple GP model
kernel = GPy.kern.rbf(6, ARD = True) + GPy.kern.bias(6)
m = GPy.models.Bayesian_GPLVM(data['X'], 6, kernel=kernel, M=M)
m.data_labels = data['Y'].argmax(axis=1)
# optimize
m.ensure_default_constraints()
if optimize:
m.optimize('scg',messages=1)
# plot
print(m)
m.plot_latent(labels=m.data_labels)
return m
def BGPLVM_oil_100(optimize=True):
data = GPy.util.datasets.oil_100()
# create simple GP model
kernel = GPy.kern.rbf(6, ARD = True) + GPy.kern.bias(6)
m = GPy.models.GPLVM(data['X'], 6, kernel = kernel)
m.data_labels = data['Y'].argmax(axis=1)
# optimize
m.ensure_default_constraints()
m.optimize(messages=1)
if optimize:
m.optimize(messages=1)
# plot
print(m)