def test_map_to_domain():
inputs = [None, 'foo', 1, 1.0, True, False]
d = Domain()
for i in inputs:
with pytest.raises(NotImplementedError):
d.map_to_domain(i)
def test_init():
d = Domain()
assert d.name is None
assert d.current is None
assert d._complexity is None
d = Domain('foo')
assert d.name == 'foo'
assert d.current is None
assert d._complexity is None
def test_complexity():
d = Domain()
assert d.complexity == 1
assert d._complexity == 1
assert d.complexity == 1
d = Domain()
assert d.complexity == 1
assert d._complexity == 1
assert d.complexity == 1
def from_json(cls, obj):
"""Recreate a SearchSpace from its JSON representation.
Parameters
----------
obj : dict
JSON encoding of the SearchSpace
Returns
-------
searchspace : `pyrameter.searchspace.SearchSpace`
"""
domains = [Domain.from_json(d) for d in obj['domains']]
searchspace = cls(domains, exp_key=obj['exp_key'])
trials = []
for t in obj['trials']:
trial = Trial(searchspace,
hyperparameters=t['hyperparameters'],
results=t['results'],
objective=t['objective'],
errmsg=t['errmsg'])
trial.dirty = False
trials.append(trial)
searchspace.trials = trials
searchspace._complexity = obj['complexity']
searchspace._uncertainty = obj['uncertainty']
return searchspace
def load(self, exp_key):
"""Load a hyperparameter search state.
Returns
-------
searchspaces : list of `pyrameter.domains.searchspace.SearchSpace`
The search spaces in the eperiment as of their most recent save.
"""
searchspaces = self.connection['searchspaces'].find(
{'exp_key': exp_key})
loaded = []
for searchspace in searchspaces:
domains = self.connection['domains'].find(
{'_id': {
'$in': searchspace['domains']
}})
domains = sorted([Domain.from_json(d) for d in domains])
trials = self.connection['trials'.find(
{'_id': {
'$in': searchspace['trials']
}})]
trials = [Trial.from_json(t) for t in trials]
for t in trials:
trial.dirty = False
ss = SearchSpace.from_json(searchspace)
ss.domains = domains
ss.trials = trials
loaded.append(ss)
return loaded
def from_json(cls, obj):
"""Recreate a SearchSpace from its JSON representation.
Parameters
----------
obj : dict
JSON encoding of the SearchSpace
Returns
-------
searchspace : `pyrameter.searchspace.SearchSpace`
"""
domains = [Domain.from_json(d) for d in obj['domains']]
searchspace = cls(domains, exp_key=obj['exp_key'])
trials = []
for t in obj['trials']:
t['searchspace'] = searchspace
trial = Trial.from_json(t)
trial.dirty = False
trials.append(trial)
searchspace.trials = trials
searchspace._complexity = obj['complexity']
searchspace._uncertainty = obj['uncertainty']
print(obj)
searchspace.id = obj['id']
return searchspace
def from_json(cls, obj):
domain = cls(obj['name'],
Domain.from_json(obj['domain']),
obj['repetitions'],
split=obj['split'])
domain.id = obj['id']
domain.current = obj['current']
return domain
def test_to_json():
d = Domain()
assert d.to_json() == {'name': None,
'type': 'pyrameter.domains.base.Domain'}
d = Domain('foo')
assert d.to_json() == {'name': 'foo',
'type': 'pyrameter.domains.base.Domain'}
def test_to_index():
inputs = [None, 'foo', 1, 1.0, True, False]
d = Domain()
for i in inputs:
assert d.to_index(i) == i
def test_generate():
d = Domain()
with pytest.raises(NotImplementedError):
d.generate()
def test_map_to_domain():
inputs = [None, 'foo', 1, 1.0, True, False]
d = Domain()
for i in inputs:
assert d.map_to_domain(i) == i