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Fix cmu_mocap demo.

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Neil Lawrence 2021-05-18 20:15:17 +01:00 • committed by Neil Lawrence
parent 4dfc22277f
commit 20750d7a5e
1 changed files with 5 additions and 2 deletions
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7
GPy/examples/dimensionality_reduction.py
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@ -78,7 +78,8 @@ def gplvm_oil_100(optimize=True, verbose=1, plot=True):
m = GPy.models.GPLVM(Y, 6, kernel=kernel) m = GPy.models.GPLVM(Y, 6, kernel=kernel)
m.data_labels = data['Y'].argmax(axis=1) m.data_labels = data['Y'].argmax(axis=1)
if optimize: m.optimize('scg', messages=verbose) if optimize: m.optimize('scg', messages=verbose)
if plot: m.plot_latent(labels=m.data_labels) if plot:
m.plot_latent(labels=m.data_labels)
return m return m
def sparse_gplvm_oil(optimize=True, verbose=0, plot=True, N=100, Q=6, num_inducing=15, max_iters=50): def sparse_gplvm_oil(optimize=True, verbose=0, plot=True, N=100, Q=6, num_inducing=15, max_iters=50):
@ -689,7 +690,9 @@ def cmu_mocap(subject='35', motion=['01'], in_place=True, optimize=True, verbose
if optimize: m.optimize(messages=verbose, max_f_eval=10000) if optimize: m.optimize(messages=verbose, max_f_eval=10000)
if plot: if plot:
ax = m.plot_latent() fig, (latent_axes, sense_axes) = plt.subplots(1, 2)
m.plot_latent(ax=latent_axes)
ax = gca
y = m.Y[0, :] y = m.Y[0, :]
data_show = GPy.plotting.matplot_dep.visualize.skeleton_show(y[None, :], data['skel']) 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=ax) lvm_visualizer = GPy.plotting.matplot_dep.visualize.lvm(m.X[0].copy(), m, data_show, latent_axes=ax)