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restructuring and merge with devel

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Max Zwiessele 2013-04-30 10:09:30 +01:00
commit c502b66ea3
7 changed files with 341 additions and 225 deletions
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44
GPy/examples/dimensionality_reduction.py
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@ -81,11 +81,19 @@ def BGPLVM_oil(optimize=True, N=100, Q=10, M=15, max_f_eval=300):
else:
m.ensure_default_constraints()
# plot
print(m)
m.plot_latent(labels=m.data_labels)
pb.figure()
pb.bar(np.arange(m.kern.D), 1. / m.input_sensitivity())
y = m.likelihood.Y[0, :]
fig,(latent_axes,hist_axes) = plt.subplots(1,2)
plt.sca(latent_axes)
m.plot_latent()
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, hist_axes=hist_axes)
raw_input('Press enter to finish')
plt.close('all')
# # plot
# print(m)
# m.plot_latent(labels=m.data_labels)
# pb.figure()
# pb.bar(np.arange(m.kern.D), 1. / m.input_sensitivity())
return m
def oil_100():
@ -348,7 +356,7 @@ def brendan_faces():
ax = m.plot_latent()
y = m.likelihood.Y[0, :]
data_show = GPy.util.visualize.image_show(y[None, :], dimensions=(20, 28), transpose=True, invert=False, scale=False)
lvm_visualizer = GPy.util.visualize.lvm(m, data_show, ax)
lvm_visualizer = GPy.util.visualize.lvm(m.X[0, :], m, data_show, ax)
raw_input('Press enter to finish')
plt.close('all')
@ -365,7 +373,29 @@ def stick():
ax = m.plot_latent()
y = m.likelihood.Y[0, :]
data_show = GPy.util.visualize.stick_show(y[None, :], connect=data['connect'])
lvm_visualizer = GPy.util.visualize.lvm(m, data_show, ax)
lvm_visualizer = GPy.util.visualize.lvm(m.X[0, :], m, data_show, ax)
raw_input('Press enter to finish')
plt.close('all')
return m
def cmu_mocap(subject='35', motion=['01'], in_place=True):
data = GPy.util.datasets.cmu_mocap(subject, motion)
Y = data['Y']
if in_place:
# Make figure move in place.
data['Y'][:, 0:3]=0.0
m = GPy.models.GPLVM(data['Y'], 2, normalize_Y=True)
# optimize
m.ensure_default_constraints()
m.optimize(messages=1, max_f_eval=10000)
ax = m.plot_latent()
y = m.likelihood.Y[0, :]
data_show = GPy.util.visualize.skeleton_show(y[None, :], data['skel'])
lvm_visualizer = GPy.util.visualize.lvm(m.X[0, :], m, data_show, ax)
raw_input('Press enter to finish')
plt.close('all')