deephyper.evaluator.RunningJob#

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

`clear`
`get`
`items`
`keys`
`pop`	If key is not found, d is returned if given, otherwise KeyError is raised.
`popitem`	as a 2-tuple; but raise KeyError if D is empty.
`record`
`setdefault`
`stopped`
`update`	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
`values`

Attributes

objective

If the RunningJob is using a Stopper then it will return observations from the it.

clear() → None. Remove all items from D.#

get(k[, d]) → D[k] if k in D, else d. d defaults to None.#

items() → a set-like object providing a view on D’s items#

keys() → a set-like object providing a view on D’s keys#

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.

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.

popitem() → (k, v), remove and return some (key, value) pair#: as a 2-tuple; but raise KeyError if D is empty.

setdefault(k[, d]) → D.get(k,d), also set D[k]=d if k not in D#

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

values() → an object providing a view on D’s values#