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Max Zwiessele 2014-03-12 13:02:52 +00:00
parent abc7545e09
commit b975a45cd2
1 changed files with 13 additions and 15 deletions
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6
GPy/core/parameterization/parameter_core.py
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@ -16,7 +16,7 @@ Observable Pattern for patameterization
from transformations import Transformation, Logexp, NegativeLogexp, Logistic, __fixed__, FIXED, UNFIXED from transformations import Transformation, Logexp, NegativeLogexp, Logistic, __fixed__, FIXED, UNFIXED
import numpy as np import numpy as np
__updated__ = '2014-03-11' __updated__ = '2014-03-12'
class HierarchyError(Exception): class HierarchyError(Exception):
""" """
@ -831,16 +831,13 @@ class Parameterizable(OptimizationHandlable):
self._gradient_array_ = np.empty(self.size, dtype=np.float64) self._gradient_array_ = np.empty(self.size, dtype=np.float64)
self._param_slices_ = [] self._param_slices_ = []
for i, p in enumerate(self._parameters_): for i, p in enumerate(self._parameters_):
p._parent_ = self p._parent_ = self
p._parent_index_ = i p._parent_index_ = i
pslice = slice(old_size, old_size+p.size) pslice = slice(old_size, old_size+p.size)
# first connect all children # first connect all children
p._propagate_param_grad(self._param_array_[pslice], self._gradient_array_[pslice]) p._propagate_param_grad(self._param_array_[pslice], self._gradient_array_[pslice])
# then connect children to self # then connect children to self
self._param_array_[pslice] = p._param_array_.ravel()#, requirements=['C', 'W']).ravel(order='C') self._param_array_[pslice] = p._param_array_.ravel()#, requirements=['C', 'W']).ravel(order='C')
self._gradient_array_[pslice] = p._gradient_array_.ravel()#, requirements=['C', 'W']).ravel(order='C') self._gradient_array_[pslice] = p._gradient_array_.ravel()#, requirements=['C', 'W']).ravel(order='C')
@ -868,6 +865,7 @@ class Parameterizable(OptimizationHandlable):
#=========================================================================== #===========================================================================
def copy(self): def copy(self):
"""Returns a (deep) copy of the current model""" """Returns a (deep) copy of the current model"""
raise NotImplementedError, "Copy is not yet implemented, TODO: Observable hierarchy"
import copy import copy
from .index_operations import ParameterIndexOperations, ParameterIndexOperationsView from .index_operations import ParameterIndexOperations, ParameterIndexOperationsView
from .lists_and_dicts import ArrayList from .lists_and_dicts import ArrayList