def create_experiment(mode, space, algorithm):
experiment = Experiment("supernaekei", mode=mode)
experiment.space = space
experiment.algorithms = algorithm
experiment.max_broken = 5
experiment.max_trials = 5
return experiment
def test_broken_property():
"""Check experiment stopping conditions for maximum number of broken."""
MAX_BROKEN = 5
stati = (["reserved"] * 10) + (["broken"] * (MAX_BROKEN - 1))
with OrionState(trials=generate_trials(stati)) as cfg:
exp = Experiment("supernaekei", mode="x")
exp._id = cfg.trials[0]["experiment"]
exp.max_broken = MAX_BROKEN
assert not exp.is_broken
stati = (["reserved"] * 10) + (["broken"] * (MAX_BROKEN))
with OrionState(trials=generate_trials(stati)) as cfg:
exp = Experiment("supernaekei", mode="x")
exp._id = cfg.trials[0]["experiment"]
exp.max_broken = MAX_BROKEN
assert exp.is_broken
def test_configurable_broken_property():
"""Check if max_broken changes after configuration."""
MAX_BROKEN = 5
stati = (["reserved"] * 10) + (["broken"] * (MAX_BROKEN))
with OrionState(trials=generate_trials(stati)) as cfg:
exp = Experiment("supernaekei", mode="x")
exp._id = cfg.trials[0]["experiment"]
exp.max_broken = MAX_BROKEN
assert exp.is_broken
exp.max_broken += 1
assert not exp.is_broken
def create_experiment(name, version, mode, space, **kwargs):
"""Instantiate the experiment and its attribute objects
All unspecified arguments will be replaced by system's defaults (orion.core.config.*).
Parameters
----------
name: str
Name of the experiment.
version: int
Version of the experiment.
mode: str
The access rights of the experiment on the database.
'r': read access only
'w': can read and write to database
'x': can read and write to database, algo is instantiated and can execute optimization
space: dict or Space object
Optimization space of the algorithm. If dict, should have the form
`dict(name='<prior>(args)')`.
algorithms: str or dict, optional
Algorithm used for optimization.
strategy: str or dict, optional
Parallel strategy to use to parallelize the algorithm.
max_trials: int, optional
Maximum number or trials before the experiment is considered done.
max_broken: int, optional
Number of broken trials for the experiment to be considered broken.
storage: dict, optional
Configuration of the storage backend.
"""
experiment = Experiment(name=name, version=version, mode=mode)
experiment._id = kwargs.get("_id", None) # pylint:disable=protected-access
experiment.max_trials = kwargs.get("max_trials",
orion.core.config.experiment.max_trials)
experiment.max_broken = kwargs.get("max_broken",
orion.core.config.experiment.max_broken)
experiment.space = _instantiate_space(space)
experiment.algorithms = _instantiate_algo(
experiment.space,
experiment.max_trials,
kwargs.get("algorithms"),
ignore_unavailable=mode != "x",
)
# TODO: Remove for v0.4
_instantiate_strategy(kwargs.get("producer", {}).get("strategy"))
experiment.working_dir = kwargs.get(
"working_dir", orion.core.config.experiment.working_dir)
experiment.metadata = kwargs.get(
"metadata", {"user": kwargs.get("user", getpass.getuser())})
experiment.refers = kwargs.get("refers", {
"parent_id": None,
"root_id": None,
"adapter": []
})
experiment.refers["adapter"] = _instantiate_adapters(
experiment.refers.get("adapter", []))
log.debug("Created experiment with config:\n%s",
pprint.pformat(experiment.configuration))
return experiment
