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merge ties branch into psi2
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2 changed files with 68 additions and 9 deletions
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@ -22,15 +22,44 @@ def extract_properties_to_index(index, props):
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class ParameterIndexOperations(object):
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class ParameterIndexOperations(object):
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'''
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"""
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Index operations for storing param index _properties
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This object wraps a dictionary, whos keys are _operations_ that we'd like
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This class enables index with slices retrieved from object.__getitem__ calls.
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to apply to a parameter array, and whose values are np integer arrays which
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Adding an index will add the selected indexes by the slice of an indexarray
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index the parameter array appropriately.
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indexing a shape shaped array to the flattened index array. Remove will
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remove the selected slice indices from the flattened array.
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A model instance will contain one instance of this class for each thing
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You can give an offset to set an offset for the given indices in the
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that needs indexing (i.e. constraints, ties and priors). Parameters within
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index array, for multi-param handling.
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the model constain instances of the ParameterIndexOperationsView class,
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'''
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which can map from a 'local' index (starting 0) to this global index.
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Here's an illustration:
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#=======================================================================
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model : 0 1 2 3 4 5 6 7 8 9
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key1: 4 5
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key2: 7 8
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param1: 0 1 2 3 4 5
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key1: 2 3
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key2: 5
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param2: 0 1 2 3 4
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key1: 0
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key2: 2 3
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#=======================================================================
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The views of this global index have a subset of the keys in this global
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(model) index.
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Adding a new key (e.g. a constraint) to a view will cause the view to pass
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the new key to the global index, along with the local index and an offset.
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This global index then stores the key and the appropriate global index
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(which can be seen by the view).
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See also:
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ParameterIndexOperationsView
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"""
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_offset = 0
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_offset = 0
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def __init__(self, constraints=None):
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def __init__(self, constraints=None):
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self._properties = IntArrayDict()
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self._properties = IntArrayDict()
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@ -496,6 +496,35 @@ class Indexable(Nameable, Observable):
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# Constrain operations -> done
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# Constrain operations -> done
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#===========================================================================
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#===========================================================================
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def tie(self, name):
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#remove any constraints
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old_const = self.constraints.properties()[:]
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self.unconstrain()
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#set these parameters to be 'fixed' as in, not optimized
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self._highest_parent_._set_fixed(self, self._raveled_index())
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#see if a tie exists with that name
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if name in self._highest_parent_.ties:
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t = self._highest_parent_.ties[name]
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else:
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#create a tie object
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value = np.atleast_1d(self.param_array)[0]*1
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import ties_and_remappings
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t = ties_and_remappings.Tie(value=value, name=name)
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#add the new tie object to the global index
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self._highest_parent_.ties[name] = t
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self._highest_parent_.add_parameter(t)
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#constrain the tie as we were constrained
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if len(old_const)==1:
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t.constrain(old_const[0])
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self.constraints.add(t, self._raveled_index())
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t.add_tied_parameter(self)
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def constrain(self, transform, warning=True, trigger_parent=True):
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def constrain(self, transform, warning=True, trigger_parent=True):
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"""
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"""
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:param transform: the :py:class:`GPy.core.transformations.Transformation`
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:param transform: the :py:class:`GPy.core.transformations.Transformation`
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@ -784,6 +813,7 @@ class Parameterizable(OptimizationHandlable):
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self._param_array_ = None
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self._param_array_ = None
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self._added_names_ = set()
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self._added_names_ = set()
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self.__visited = False # for traversing in reverse order we need to know if we were here already
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self.__visited = False # for traversing in reverse order we need to know if we were here already
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self.ties = {}
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@property
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@property
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def param_array(self):
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def param_array(self):
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