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dimensionality reduction example (oil) updated

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Max Zwiessele 2013-11-27 15:02:30 +00:00
parent 546a9bd205
commit 944703beff
1 changed files with 2 additions and 7 deletions
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GPy/examples/dimensionality_reduction.py
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@ -165,19 +165,14 @@ def BGPLVM_oil(optimize=True, N=200, Q=7, num_inducing=40, max_iters=1000, plot=
# optimize # optimize
if optimize: if optimize:
m.constrain_fixed('noise')
m.optimize('scg', messages=1, max_iters=200, gtol=.05)
m.constrain_positive('noise')
m.constrain_bounded('white', 1e-7, 1)
m.optimize('scg', messages=1, max_iters=max_iters, gtol=.05) m.optimize('scg', messages=1, max_iters=max_iters, gtol=.05)
if plot: if plot:
y = m.likelihood.Y[0, :] y = m.likelihood.Y[0, :]
fig, (latent_axes, sense_axes) = plt.subplots(1, 2) fig, (latent_axes, sense_axes) = plt.subplots(1, 2)
plt.sca(latent_axes) m.plot_latent(ax=latent_axes)
m.plot_latent()
data_show = GPy.util.visualize.vector_show(y) data_show = GPy.util.visualize.vector_show(y)
lvm_visualizer = GPy.util.visualize.lvm_dimselect(m.X[0, :], m, data_show, latent_axes=latent_axes) # , sense_axes=sense_axes) lvm_visualizer = GPy.util.visualize.lvm_dimselect(m.X[0, :], m, data_show, latent_axes=latent_axes, sense_axes=sense_axes)
raw_input('Press enter to finish') raw_input('Press enter to finish')
plt.close(fig) plt.close(fig)
return m return m