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[parameterized] restructered a lot and finalized some stuff

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Max Zwiessele 2014-05-15 11:29:20 +01:00
parent 78ae67bd47
commit 02b5ee1e46
10 changed files with 354 additions and 325 deletions
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16
GPy/core/parameterization/variational.py
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@ -81,7 +81,7 @@ class VariationalPosterior(Parameterized):
def _raveled_index(self):
index = np.empty(dtype=int, shape=0)
size = 0
for p in self._parameters_:
for p in self.parameters:
index = np.hstack((index, p._raveled_index()+size))
size += p._realsize_ if hasattr(p, '_realsize_') else p.size
return index
@ -96,10 +96,10 @@ class VariationalPosterior(Parameterized):
dc = self.__dict__.copy()
dc['mean'] = self.mean[s]
dc['variance'] = self.variance[s]
dc['_parameters_'] = copy.copy(self._parameters_)
dc['parameters'] = copy.copy(self.parameters)
n.__dict__.update(dc)
n._parameters_[dc['mean']._parent_index_] = dc['mean']
n._parameters_[dc['variance']._parent_index_] = dc['variance']
n.parameters[dc['mean']._parent_index_] = dc['mean']
n.parameters[dc['variance']._parent_index_] = dc['variance']
n._gradient_array_ = None
oversize = self.size - self.mean.size - self.variance.size
n.size = n.mean.size + n.variance.size + oversize
@ -150,11 +150,11 @@ class SpikeAndSlabPosterior(VariationalPosterior):
dc['mean'] = self.mean[s]
dc['variance'] = self.variance[s]
dc['binary_prob'] = self.binary_prob[s]
dc['_parameters_'] = copy.copy(self._parameters_)
dc['parameters'] = copy.copy(self.parameters)
n.__dict__.update(dc)
n._parameters_[dc['mean']._parent_index_] = dc['mean']
n._parameters_[dc['variance']._parent_index_] = dc['variance']
n._parameters_[dc['binary_prob']._parent_index_] = dc['binary_prob']
n.parameters[dc['mean']._parent_index_] = dc['mean']
n.parameters[dc['variance']._parent_index_] = dc['variance']
n.parameters[dc['binary_prob']._parent_index_] = dc['binary_prob']
n.ndim = n.mean.ndim
n.shape = n.mean.shape
n.num_data = n.mean.shape[0]