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Fix dimensionality reduction example to work with notebook.

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Neil Lawrence 2021-05-19 10:06:40 +01:00 • committed by Neil Lawrence
parent 5f68d8a7c3
commit ef90137c4c
1 changed files with 12 additions and 6 deletions
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18
GPy/examples/dimensionality_reduction.py
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@ -685,17 +685,23 @@ def cmu_mocap(subject='35', motion=['01'], in_place=True, optimize=True, verbose
# Make figure move in place.
data['Y'][:, 0:3] = 0.0
Y = data['Y']
Y_mean = Y.mean(0)
Y_std = Y.std(0)
m = GPy.models.GPLVM((Y - Y_mean) / Y_std, 2)
m = GPy.models.GPLVM(Y, 2, normalizer=True)
if optimize: m.optimize(messages=verbose, max_f_eval=10000)
if plot:
fig, (latent_axes, sense_axes) = plt.subplots(1, 2)
fig, _ = plt.subplots(figsize=(8, 5))
latent_axes = fig.add_subplot(131)
sense_axes = fig.add_subplot(132)
viz_axes = fig.add_subplot(133, projection='3d')
m.plot_latent(ax=latent_axes)
latent_axes.set_aspect('equal')
y = m.Y[0, :]
data_show = GPy.plotting.matplot_dep.visualize.skeleton_show(y[None, :], data['skel'])
lvm_visualizer = GPy.plotting.matplot_dep.visualize.lvm(m.X[0].copy(), m, data_show, latent_axes=latent_axes)
data_show = GPy.plotting.matplot_dep.visualize.skeleton_show(y[None, :], data['skel'], viz_axes)
lvm_visualizer = GPy.plotting.matplot_dep.visualize.lvm(m.X[0].copy(), m, data_show, latent_axes=latent_axes, sense_axes=sense_axes)
input('Press enter to finish')
lvm_visualizer.close()
data_show.close()