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minor changes, dimensionality reduction tests

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This commit is contained in:
Max Zwiessele 2013-05-22 17:17:20 +01:00
parent a7692678c9
commit 26d68861ca
5 changed files with 29 additions and 16 deletions
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6
GPy/models/Bayesian_GPLVM.py
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@ -93,8 +93,12 @@ class Bayesian_GPLVM(sparse_GP, GPLVM):
x = np.hstack((self.X.flatten(), self.X_variance.flatten(), sparse_GP._get_params(self)))
return x
def _clipped(self, x):
return x # np.clip(x, -1e100, 1e100)
def _set_params(self, x, save_old=True, save_count=0):
# try:
x = self._clipped(x)
N, Q = self.N, self.Q
self.X = x[:self.X.size].reshape(N, Q).copy()
self.X_variance = x[(N * Q):(2 * N * Q)].reshape(N, Q).copy()
@ -176,7 +180,7 @@ class Bayesian_GPLVM(sparse_GP, GPLVM):
# ========================
self.dbound_dmuS = np.hstack((d_dmu, d_dS))
self.dbound_dZtheta = sparse_GP._log_likelihood_gradients(self)
return np.hstack((self.dbound_dmuS.flatten(), self.dbound_dZtheta))
return self._clipped(np.hstack((self.dbound_dmuS.flatten(), self.dbound_dZtheta)))
def plot_latent(self, which_indices=None, *args, **kwargs):

2
GPy/models/GPLVM.py
View file

@ -119,7 +119,7 @@ class GPLVM(GP):
else:
x = self.X[index,input_1]
y = self.X[index,input_2]
ax.scatter(x, y, marker=m, s=s, color=util.plot.Tango.nextMedium(), mew=1.3, label=this_label)
ax.scatter(x, y, marker=m, s=s, color=util.plot.Tango.nextMedium(), label=this_label)
ax.set_xlabel('latent dimension %i'%input_1)
ax.set_ylabel('latent dimension %i'%input_2)