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[parameterized] restructered a lot and finalized some stuff
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78ae67bd47
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02b5ee1e46
10 changed files with 354 additions and 325 deletions
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@ -141,10 +141,10 @@ class Add(CombinationKernel):
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from static import White, Bias
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target_mu = np.zeros(variational_posterior.shape)
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target_S = np.zeros(variational_posterior.shape)
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for p1 in self._parameters_:
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for p1 in self.parameters:
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#compute the effective dL_dpsi1. extra terms appear becaue of the cross terms in psi2!
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eff_dL_dpsi1 = dL_dpsi1.copy()
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for p2 in self._parameters_:
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for p2 in self.parameters:
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if p2 is p1:
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continue
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if isinstance(p2, White):
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@ -160,7 +160,7 @@ class Add(CombinationKernel):
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def add(self, other, name='sum'):
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if isinstance(other, Add):
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other_params = other._parameters_[:]
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other_params = other.parameters[:]
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for p in other_params:
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other.remove_parameter(p)
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self.add_parameters(*other_params)
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@ -183,9 +183,9 @@ class Kern(Parameterized):
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assert isinstance(other, Kern), "only kernels can be added to kernels..."
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from prod import Prod
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#kernels = []
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#if isinstance(self, Prod): kernels.extend(self._parameters_)
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#if isinstance(self, Prod): kernels.extend(self.parameters)
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#else: kernels.append(self)
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#if isinstance(other, Prod): kernels.extend(other._parameters_)
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#if isinstance(other, Prod): kernels.extend(other.parameters)
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#else: kernels.append(other)
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return Prod([self, other], name)
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@ -222,7 +222,7 @@ class CombinationKernel(Kern):
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@property
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def parts(self):
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return self._parameters_
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return self.parameters
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def get_input_dim_active_dims(self, kernels, extra_dims = None):
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#active_dims = reduce(np.union1d, (np.r_[x.active_dims] for x in kernels), np.array([], dtype=int))
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