Further edits on visualization code for faces example.

GPy/examples/dimensionality_reduction.py

@@ -3,6 +3,8 @@
 
 import numpy as np
 import pylab as pb
+from matplotlib import pyplot as plt
+
 import GPy
 
 default_seed = np.random.seed(123344)
@@ -55,3 +57,51 @@ def GPLVM_oil_100():
     print(m)
     m.plot_latent(labels=data['Y'].argmax(axis=1))
     return m
+
+def oil_100():
+    data = GPy.util.datasets.oil_100()
+    m = GPy.models.GPLVM(data['X'], 2)
+
+    # optimize
+    m.ensure_default_constraints()
+    m.optimize(messages=1, max_iters=2)
+
+    # plot
+    print(m)
+    #m.plot_latent(labels=data['Y'].argmax(axis=1))
+    return m
+
+def brendan_faces():
+    data = GPy.util.datasets.brendan_faces()
+    Y = data['Y'][0:500, :]
+    m = GPy.models.GPLVM(Y, 2, init='rand')
+
+    # optimize
+    m.ensure_default_constraints()
+    m.optimize(messages=1, max_f_eval=40)
+
+    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)
+    raw_input('Press enter to finish')
+    plt.close('all')
+
+    return m
+
+def stick():
+    data = GPy.util.datasets.stick()
+    m = GPy.models.GPLVM(data['Y'], 2, init='rand')
+    
+    # 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.stick_show(y[None, :], connect=data['connect'])
+    lvm_visualizer = GPy.util.visualize.lvm(m, data_show, ax)
+    raw_input('Press enter to finish')
+    plt.close('all')
+
+    return m

GPy/examples/regression.py

@@ -73,7 +73,7 @@ def silhouette():
 
 def coregionalisation_toy2():
     """
-    A simple demonstration of coregionalisation on two sinusoidal functions
+    A simple demonstration of coregionalisation on two sinusoidal functions.
     """
     X1 = np.random.rand(50,1)*8
     X2 = np.random.rand(30,1)*5
@@ -106,7 +106,7 @@ def coregionalisation_toy2():
 
 def coregionalisation_toy():
     """
-    A simple demonstration of coregionalisation on two sinusoidal functions
+    A simple demonstration of coregionalisation on two sinusoidal functions.
     """
     X1 = np.random.rand(50,1)*8
     X2 = np.random.rand(30,1)*5
@@ -139,7 +139,7 @@ def coregionalisation_toy():
 
 def coregionalisation_sparse():
     """
-    A simple demonstration of coregionalisation on two sinusoidal functions
+    A simple demonstration of coregionalisation on two sinusoidal functions using sparse approximations.
     """
     X1 = np.random.rand(500,1)*8
     X2 = np.random.rand(300,1)*5