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pickling for Bayesian_GPLVM simplified

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Max Zwiessele 2013-05-22 12:57:19 +01:00
parent 03933f9604
commit db58239063
1 changed files with 46 additions and 37 deletions
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9
GPy/models/Bayesian_GPLVM.py
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@ -37,6 +37,7 @@ class Bayesian_GPLVM(sparse_GP, GPLVM):
if X == None: if X == None:
X = self.initialise_latent(init, Q, likelihood.Y) X = self.initialise_latent(init, Q, likelihood.Y)
self.init = init
if X_variance is None: if X_variance is None:
X_variance = np.clip((np.ones_like(X) * 0.5) + .01 * np.random.randn(*X.shape), 0.001, 1) X_variance = np.clip((np.ones_like(X) * 0.5) + .01 * np.random.randn(*X.shape), 0.001, 1)
@ -262,6 +263,14 @@ class Bayesian_GPLVM(sparse_GP, GPLVM):
fig.tight_layout(h_pad=.01) # , rect=(0, 0, 1, .95)) fig.tight_layout(h_pad=.01) # , rect=(0, 0, 1, .95))
return fig return fig
def __getstate__(self):
return (self.likelihood, self.Q, self.X, self.X_variance,
self.init, self.M, self.Z, self.kern,
self.oldpsave, self._debug)
def __setstate__(self, state):
self.__init__(*state)
def _debug_filter_params(self, x): def _debug_filter_params(self, x):
start, end = 0, self.X.size, start, end = 0, self.X.size,
X = x[start:end].reshape(self.N, self.Q) X = x[start:end].reshape(self.N, self.Q)