def test0():
try:
client = Client(debug=True)
except IOError:
raise SkipTest()
client[:].use_cloudpickle()
trials = IPythonTrials(client, 'log')
def simple_objective(args):
# -- why are these imports here !?
# -- is it because they need to be imported on the client?
#
# Yes, the client namespace is empty, so some imports may be
# needed here. Errors on the engines can be found by
# using debug=True when instantiating the Client.
import hyperopt
return {'loss': args**2, 'status': hyperopt.STATUS_OK}
space = hyperopt.hp.uniform('x', 0, 1)
minval = trials.fmin(simple_objective,
space=space,
algo=hyperopt.tpe.suggest,
max_evals=25,
verbose=True)
print(minval)
assert minval['x'] < .2
def test0():
client = Client()
trials = IPythonTrials(client)
minval = trials.fmin(simple_objective, space, hyperopt.tpe.suggest, 25)
print minval
assert minval['x'] < .2
def test0():
client = Client()
trials = IPythonTrials(client)
minval = trials.fmin(simple_objective, space, hyperopt.tpe.suggest, 25)
print minval
assert minval['x'] < .2
def test0():
try:
client = Client(debug=True)
except IOError:
raise SkipTest()
client[:].use_dill()
trials = IPythonTrials(client, 'log')
def simple_objective(args):
# -- why are these imports here !?
# -- is it because they need to be imported on the client?
#
# Yes, the client namespace is empty, so some imports may be
# needed here. Errors on the engines can be found by
# using debug=True when instantiating the Client.
import hyperopt
return {'loss': args ** 2, 'status': hyperopt.STATUS_OK}
space = hyperopt.hp.uniform('x', 0, 1)
minval = trials.fmin(simple_objective, space=space,
algo=hyperopt.tpe.suggest, max_evals=25, verbose=True)
print(minval)
assert minval['x'] < .2
def test0():
try:
client = Client()
except IOError:
raise SkipTest()
trials = IPythonTrials(client)
minval = trials.fmin(simple_objective, space, hyperopt.tpe.suggest, 25)
print minval
assert minval['x'] < .2
def get_iptrials(filename):
client = Client()
try:
iptrials = cPickle.load(open(filename))
iptrials._client = client
except IOError:
iptrials = IPythonTrials(client)
except (EOFError, cPickle.PickleError):
print "ERROR: unpickling FAILED"
iptrials = IPythonTrials(client)
return iptrials
def test_fmin_fn():
try:
client = Client()
except IOError:
raise SkipTest()
client[:].use_cloudpickle()
trials = IPythonTrials(client, 'log')
assert not trials._testing_fmin_was_called
def simple_objective(args):
import hyperopt
return {'loss': args**2, 'status': hyperopt.STATUS_OK}
space = hyperopt.hp.uniform('x', 0, 1)
minval = hyperopt.fmin(simple_objective,
space=space,
algo=hyperopt.tpe.suggest,
max_evals=25,
trials=trials)
assert minval['x'] < .2
assert trials._testing_fmin_was_called
def test_fmin_fn():
client = Client()
trials = IPythonTrials(client)
assert not trials._testing_fmin_was_called
minval = hyperopt.fmin(simple_objective,
space,
algo=hyperopt.tpe.suggest,
max_evals=25,
trials=trials)
assert minval['x'] < .2
assert trials._testing_fmin_was_called
