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model robustness greatly improved and avisualize adjustments for plot_latent

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Max Zwiessele 2013-06-07 17:11:45 +01:00
parent 73bed5be82
commit 5f1445bf04
3 changed files with 10 additions and 10 deletions
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8
GPy/examples/dimensionality_reduction.py
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@ -2,7 +2,7 @@
# Licensed under the BSD 3-clause license (see LICENSE.txt)
import numpy as np
from matplotlib import pyplot as plt
from matplotlib import pyplot as plt, cm
import GPy
from GPy.core.transformations import logexp
@ -182,7 +182,7 @@ def _simulate_sincos(D1, D2, D3, N, num_inducing, Q, plot_sim=False):
sS = sS(x)
S1 = np.hstack([s1, sS])
S2 = np.hstack([s2, sS])
S2 = np.hstack([s2, s3, sS])
S3 = np.hstack([s3, sS])
Y1 = S1.dot(np.random.randn(S1.shape[1], D1))
@ -216,7 +216,7 @@ def _simulate_sincos(D1, D2, D3, N, num_inducing, Q, plot_sim=False):
ax.legend()
for i, Y in enumerate(Ylist):
ax = fig.add_subplot(2, len(Ylist), len(Ylist) + 1 + i)
ax.imshow(Y)
ax.imshow(Y, aspect='auto', cmap=cm.gray) # @UndefinedVariable
ax.set_title("Y{}".format(i + 1))
pylab.draw()
pylab.tight_layout()
@ -298,7 +298,7 @@ def mrd_simulation(optimize=True, plot=True, plot_sim=True, **kw):
if optimize:
print "Optimizing Model:"
m.optimize('scg', messages=1, max_iters=8e3, max_f_eval=8e3, gtol=.1)
m.optimize(messages=1, max_iters=8e3, max_f_eval=8e3, gtol=.1)
if plot:
m.plot_X_1d("MRD Latent Space 1D")
m.plot_scales("MRD Scales")