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Python2->Python3

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This commit is contained in:
Aki Vehtari 2016-06-09 14:50:53 +03:00
parent 52fb928dff
commit c3963928f1
10 changed files with 38 additions and 38 deletions
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22
GPy/examples/dimensionality_reduction.py
View file

@ -184,7 +184,7 @@ def bgplvm_oil(optimize=True, verbose=1, plot=True, N=200, Q=7, num_inducing=40,
data_show = GPy.plotting.matplot_dep.visualize.vector_show((m.Y[0, :]))
lvm_visualizer = GPy.plotting.matplot_dep.visualize.lvm_dimselect(m.X.mean.values[0:1, :], # @UnusedVariable
m, data_show, latent_axes=latent_axes, sense_axes=sense_axes, labels=m.data_labels)
raw_input('Press enter to finish')
input('Press enter to finish')
plt.close(fig)
return m
@ -210,7 +210,7 @@ def ssgplvm_oil(optimize=True, verbose=1, plot=True, N=200, Q=7, num_inducing=40
data_show = GPy.plotting.matplot_dep.visualize.vector_show((m.Y[0, :]))
lvm_visualizer = GPy.plotting.matplot_dep.visualize.lvm_dimselect(m.X.mean.values[0:1, :], # @UnusedVariable
m, data_show, latent_axes=latent_axes, sense_axes=sense_axes, labels=m.data_labels)
raw_input('Press enter to finish')
input('Press enter to finish')
plt.close(fig)
return m
@ -242,7 +242,7 @@ def _simulate_matern(D1, D2, D3, N, num_inducing, plot_sim=False):
fig.clf()
ax = fig.add_subplot(2, 1, 1)
labls = slist_names
for S, lab in itertools.izip(slist, labls):
for S, lab in zip(slist, labls):
ax.plot(S, label=lab)
ax.legend()
for i, Y in enumerate(Ylist):
@ -288,7 +288,7 @@ def _simulate_sincos(D1, D2, D3, N, num_inducing, plot_sim=False):
fig.clf()
ax = fig.add_subplot(2, 1, 1)
labls = slist_names
for S, lab in itertools.izip(slist, labls):
for S, lab in zip(slist, labls):
ax.plot(S, label=lab)
ax.legend()
for i, Y in enumerate(Ylist):
@ -520,7 +520,7 @@ def brendan_faces(optimize=True, verbose=True, plot=True):
y = m.Y[0, :]
data_show = GPy.plotting.matplot_dep.visualize.image_show(y[None, :], dimensions=(20, 28), transpose=True, order='F', invert=False, scale=False)
lvm = GPy.plotting.matplot_dep.visualize.lvm(m.X.mean[0, :].copy(), m, data_show, ax)
raw_input('Press enter to finish')
input('Press enter to finish')
return m
@ -542,7 +542,7 @@ def olivetti_faces(optimize=True, verbose=True, plot=True):
y = m.Y[0, :]
data_show = GPy.plotting.matplot_dep.visualize.image_show(y[None, :], dimensions=(112, 92), transpose=False, invert=False, scale=False)
lvm = GPy.plotting.matplot_dep.visualize.lvm(m.X.mean[0, :].copy(), m, data_show, ax)
raw_input('Press enter to finish')
input('Press enter to finish')
return m
@ -577,7 +577,7 @@ def stick(kernel=None, optimize=True, verbose=True, plot=True):
y = m.Y[0, :]
data_show = GPy.plotting.matplot_dep.visualize.stick_show(y[None, :], connect=data['connect'])
lvm_visualizer = GPy.plotting.matplot_dep.visualize.lvm(m.X[:1, :].copy(), m, data_show, latent_axes=ax)
raw_input('Press enter to finish')
input('Press enter to finish')
lvm_visualizer.close()
data_show.close()
return m
@ -598,7 +598,7 @@ def bcgplvm_linear_stick(kernel=None, optimize=True, verbose=True, plot=True):
y = m.likelihood.Y[0, :]
data_show = GPy.plotting.matplot_dep.visualize.stick_show(y[None, :], connect=data['connect'])
GPy.plotting.matplot_dep.visualize.lvm(m.X[0, :].copy(), m, data_show, ax)
raw_input('Press enter to finish')
input('Press enter to finish')
return m
@ -619,7 +619,7 @@ def bcgplvm_stick(kernel=None, optimize=True, verbose=True, plot=True):
y = m.likelihood.Y[0, :]
data_show = GPy.plotting.matplot_dep.visualize.stick_show(y[None, :], connect=data['connect'])
GPy.plotting.matplot_dep.visualize.lvm(m.X[0, :].copy(), m, data_show, ax)
# raw_input('Press enter to finish')
# input('Press enter to finish')
return m
@ -669,7 +669,7 @@ def stick_bgplvm(model=None, optimize=True, verbose=True, plot=True):
fig.canvas.draw()
# Canvas.show doesn't work on OSX.
#fig.canvas.show()
raw_input('Press enter to finish')
input('Press enter to finish')
return m
@ -693,7 +693,7 @@ def cmu_mocap(subject='35', motion=['01'], in_place=True, optimize=True, verbose
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=ax)
raw_input('Press enter to finish')
input('Press enter to finish')
lvm_visualizer.close()
data_show.close()

8
GPy/examples/state_space.py
View file

@ -10,17 +10,17 @@ Y = np.sin(X) + np.random.randn(*X.shape)*0.1
kernel1 = GPy.kern.Matern32(X.shape[1])
m1 = GPy.models.GPRegression(X,Y, kernel1)
print m1
print(m1)
m1.optimize(optimizer='bfgs',messages=True)
print m1
print(m1)
kernel2 = GPy.kern.sde_Matern32(X.shape[1])
#m2 = SS_model.StateSpace(X,Y, kernel2)
m2 = GPy.models.StateSpace(X,Y, kernel2)
print m2
print(m2)
m2.optimize(optimizer='bfgs',messages=True)
print m2
print(m2)