本文整理匯總了Python中osprey.config.Config類的典型用法代碼示例。如果您正苦於以下問題：Python Config類的具體用法？Python Config怎麽用？Python Config使用的例子？那麽, 這裏精選的類代碼示例或許可以為您提供幫助。
在下文中一共展示了Config類的15個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: test_search_engine_moe_2
def test_search_engine_moe_2():
config = Config.fromdict({
'strategy': {'name': 'moe', 'params': {'url': 'abc'}}
}, check_fields=False)
strat = config.strategy()
assert isinstance(strat, MOE)
assert strat.url == 'abc'示例2: test_estimator_entry_point
def test_estimator_entry_point():
config = Config.fromdict({
'estimator': {
'entry_point': 'sklearn.cluster.KMeans',
}
}, check_fields=False)
assert isinstance(config.estimator(), KMeans)示例3: test_search_space
def test_search_space():
config = Config.fromdict({
'search_space': {
'intvar': {'type': 'int', 'min': 1, 'max': 2},
'logivar': {'type': 'int', 'min': 1, 'max': 2, 'warp': 'log'},
'fvar': {'type': 'float', 'min': 1, 'max': 3.5},
'logfvar': {'type': 'float', 'min': 1, 'max': 2.5, 'warp': 'log'},
'enumvar': {'type': 'enum', 'choices': [1, False]},
'jumpivar': {'type': 'jump', 'min': 1, 'max': 3, 'num': 3, 'var_type': int},
'jumpfvar': {'type': 'jump', 'min': 1, 'max': 3, 'num': 3, 'var_type': float},
'logjumpivar': {'type': 'jump', 'min': 10, 'max': 1000, 'num': 3, 'warp': 'log', 'var_type': int},
'logjumpfvar': {'type': 'jump', 'min': 10, 'max': 1000, 'num': 3, 'warp': 'log', 'var_type': float}
}}, check_fields=False)
searchspace = config.search_space()
assert searchspace['intvar'] == IntVariable('intvar', 1, 2, warp=None)
assert searchspace['logivar'] == IntVariable('logivar', 1, 2, warp='log')
assert searchspace['fvar'] == FloatVariable('fvar', 1, 3.5, warp=None)
assert searchspace['logfvar'] == FloatVariable('logfvar', 1, 2.5,
warp='log')
assert searchspace['enumvar'] == EnumVariable('enumvar', [1, False])
assert searchspace['jumpivar'] == EnumVariable('jumpivar', [1, 2, 3])
assert searchspace['jumpfvar'] == EnumVariable('jumpfvar', [1.0, 2.0, 3.0])
assert searchspace['logjumpivar'] == EnumVariable('logjumpivar', [10, 100, 1000])
assert searchspace['logjumpfvar'] == EnumVariable('logjumpfvar', [10.0, 100.0, 1000.0])示例4: test_estimator_eval_2
def test_estimator_eval_2():
config = Config.fromdict({
'estimator': {
'eval': 'KMeans()',
'eval_scope': ['sklearn'],
}
}, check_fields=False)
assert isinstance(config.estimator(), KMeans)示例5: test_stratified_cv
def test_stratified_cv():
from sklearn.cross_validation import StratifiedShuffleSplit
config = Config.fromdict({
'cv': {'name': 'stratifiedshufflesplit', 'params': {'n_iter': 10}}
}, check_fields=False)
cv = config.cv(range(100), np.random.randint(2, size=100))
assert isinstance(cv, StratifiedShuffleSplit)
assert cv.n_iter == 10示例6: test_estimator_pickle
def test_estimator_pickle():
with tempfile.NamedTemporaryFile('w+b', 0) as f:
cPickle.dump(KMeans(), f)
config = Config.fromdict({
'estimator': {'pickle': f.name}
}, check_fields=False)
assert isinstance(config.estimator(), KMeans)示例7: test_cv_1
def test_cv_1():
from sklearn.cross_validation import ShuffleSplit
for name in ['shufflesplit', 'ShuffleSplit']:
config = Config.fromdict({
'cv': {'name': name, 'params': {'n_iter': 10}}
}, check_fields=False)
cv = config.cv(range(100))
assert isinstance(cv, ShuffleSplit)
assert cv.n_iter == 10示例8: test_estimator_entry_point_params
def test_estimator_entry_point_params():
config = Config.fromdict({
'estimator': {
'entry_point': 'sklearn.cluster.KMeans',
'params': {
'n_clusters': 15
}
}
}, check_fields=False)
assert isinstance(config.estimator(), KMeans)
assert config.estimator().n_clusters == 15示例9: test_search_space
def test_search_space():
config = Config.fromdict({
'search_space': {
'intvar': {'type': 'int', 'min': 1, 'max': 2},
'fvar': {'type': 'float', 'min': 1, 'max': 3.5},
'logvar': {'type': 'float', 'min': 1, 'max': 2.5, 'warp': 'log'},
'enumvar': {'type': 'enum', 'choices': [1, False]},
}}, check_fields=False)
searchspace = config.search_space()
assert searchspace['intvar'] == IntVariable('intvar', 1, 2)
assert searchspace['fvar'] == FloatVariable('fvar', 1, 3.5, warp=None)
assert searchspace['logvar'] == FloatVariable('logvar', 1, 2.5, warp='log')
assert searchspace['enumvar'] == EnumVariable('enumvar', [1, False])示例10: test_trial_results
def test_trial_results():
assert OSPREY_BIN is not None
cwd = os.path.abspath(os.curdir)
dirname = tempfile.mkdtemp()
try:
os.chdir(dirname)
subprocess.check_call([OSPREY_BIN, 'skeleton', '-t', 'random_example',
'-f', 'config.yaml'])
subprocess.check_call([OSPREY_BIN, 'worker', 'config.yaml', '-n', '5'])
assert os.path.exists('osprey-trials.db')
config = Config('config.yaml')
df = config.trial_results()
assert df.shape[0] == 5
for key in Trial.__table__.columns.keys():
assert key in df.columns
finally:
os.chdir(cwd)
shutil.rmtree(dirname)示例11: test_search_engine_moe_1
def test_search_engine_moe_1():
config = Config.fromdict({
'strategy': {'name': 'moe', 'params': {'url': 'sdfsdf'}}
}, check_fields=False)
assert isinstance(config.strategy(), MOE)示例12: test_search_engine_hyperopt_tpe
def test_search_engine_hyperopt_tpe():
config = Config.fromdict({
'strategy': {'name': 'hyperopt_tpe'}
}, check_fields=False)
assert isinstance(config.strategy(), HyperoptTPE)示例13: test_strategy_random
def test_strategy_random():
config = Config.fromdict({
'strategy': {'name': 'random'}
}, check_fields=False)
assert isinstance(config.strategy(), RandomSearch)示例14: test_scoring
def test_scoring():
config = Config.fromdict({
'scoring': 'sdfsfsdf'
}, check_fields=False)
assert config.scoring() is 'sdfsfsdf'示例15: test_random_seed
def test_random_seed():
config = Config.fromdict({
'random_seed': 42
}, check_fields=False)
assert config.random_seed() == 42