deephyper.evaluator.RunningJob
deephyper.evaluator.RunningJob#
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class
deephyper.evaluator.
RunningJob
(id: Optional[Hashable] = None, parameters: Optional[dict] = None, storage: Optional[deephyper.evaluator.storage._storage.Storage] = None, stopper: Optional[deephyper.stopper._stopper.Stopper] = None)[source]# Bases:
collections.abc.MutableMapping
Methods
If key is not found, d is returned if given, otherwise KeyError is raised.
as a 2-tuple; but raise KeyError if D is empty.
record
stopped
If E present and has a .keys() method, does: for k in E: D[k] = E[k] If E present and lacks .keys() method, does: for (k, v) in E: D[k] = v In either case, this is followed by: for k, v in F.items(): D[k] = v
Attributes
If the RunningJob is using a Stopper then it will return observations from the it.
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clear
() → None. Remove all items from D.#
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get
(k[, d]) → D[k] if k in D, else d. d defaults to None.#
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items
() → a set-like object providing a view on D’s items#
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keys
() → a set-like object providing a view on D’s keys#
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property
objective
# If the RunningJob is using a Stopper then it will return observations from the it. Otherwise it will simply return the last objective value recorded.
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pop
(k[, d]) → v, remove specified key and return the corresponding value.# If key is not found, d is returned if given, otherwise KeyError is raised.
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popitem
() → (k, v), remove and return some (key, value) pair# as a 2-tuple; but raise KeyError if D is empty.
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setdefault
(k[, d]) → D.get(k,d), also set D[k]=d if k not in D#
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update
([E, ]**F) → None. Update D from mapping/iterable E and F.# If E present and has a .keys() method, does: for k in E: D[k] = E[k] If E present and lacks .keys() method, does: for (k, v) in E: D[k] = v In either case, this is followed by: for k, v in F.items(): D[k] = v
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values
() → an object providing a view on D’s values#
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