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start implement ICP for ssgplvm

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This commit is contained in:
Zhenwen Dai 2015-05-18 16:36:39 +01:00
parent d01545c92b
commit 7188e92efb
3 changed files with 84 additions and 6 deletions
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6
GPy/core/parameterization/variational.py
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@ -179,15 +179,15 @@ class SpikeAndSlabPosterior(VariationalPosterior):
n.parameters[dc['variance']._parent_index_] = dc['variance']
n.parameters[dc['binary_prob']._parent_index_] = dc['binary_prob']
n._gradient_array_ = None
oversize = self.size - self.mean.size - self.variance.size
n.size = n.mean.size + n.variance.size + oversize
oversize = self.size - self.mean.size - self.variance.size - self.gamma.size
n.size = n.mean.size + n.variance.size + n.gamma.size + oversize
n.ndim = n.mean.ndim
n.shape = n.mean.shape
n.num_data = n.mean.shape[0]
n.input_dim = n.mean.shape[1] if n.ndim != 1 else 1
return n
else:
return super(VariationalPrior, self).__getitem__(s)
return super(SpikeAndSlabPosterior, self).__getitem__(s)
def plot(self, *args, **kwargs):
"""