def test_2_2():
s = SearchSpace()
s.add_int('a', 0, 3)
values = [
pyll.stochastic.sample(s['a'].to_hyperopt()) for _ in xrange(200)
]
_run_chi2_test(values, bin_edges=range(5))
def test_moe_rest_1():
moe_url = os.environ.get('MOE_API_URL', 'http://ERROR-sdjssfssdbsdf.com')
try:
request.urlopen(moe_url)
except error.URLError:
raise nose.SkipTest(
'No available MOE REST API endpoint (set with '
'MOE_API_URL environment variable)')
searchspace = SearchSpace()
searchspace.add_float('x', -10, 10)
searchspace.add_float('y', 1, 10, warp='log')
searchspace.add_int('z', -10, 10)
searchspace.add_enum('w', ['opt1', 'opt2'])
history = [(searchspace.rvs(), np.random.random(), 'SUCCEEDED')
for _ in range(4)]
params = MOE(url=moe_url).suggest(history, searchspace)
for k, v in iteritems(params):
assert k in searchspace.variables
if isinstance(searchspace[k], EnumVariable):
assert v in searchspace[k].choices
elif isinstance(searchspace[k], FloatVariable):
assert searchspace[k].min <= v <= searchspace[k].max
elif isinstance(searchspace[k], IntVariable):
assert searchspace[k].min <= v <= searchspace[k].max
else:
assert False
def test_1():
s = SearchSpace()
s.add_int('a', 1, 2)
s.add_float('b', 2, 3)
s.add_enum('c', ['a', 'b', 'c'])
assert s.n_dims == 3
assert s['a'].min == 1
assert s['a'].max == 2
assert s['a'].name == 'a'
assert s['b'].min == 2
assert s['b'].max == 3
assert s['b'].name == 'b'
assert s['c'].choices == ['a', 'b', 'c']
assert s['c'].name == 'c'
def test_1():
s = SearchSpace()
s.add_int('a', 1, 2)
s.add_float('b', 2, 3)
s.add_enum('c', ['a', 'b', 'c'])
assert s.n_dims == 3
assert s['a'].min == 1
assert s['a'].max == 2
assert s['a'].name == 'a'
assert s['b'].min == 2
assert s['b'].max == 3
assert s['b'].name == 'b'
assert s['c'].choices == ['a', 'b', 'c']
assert s['c'].name == 'c'
def test_gp():
searchspace = SearchSpace()
searchspace.add_float('x', -10, 10)
searchspace.add_float('y', 1, 10, warp='log')
searchspace.add_int('z', -10, 10)
searchspace.add_enum('w', ['opt1', 'opt2'])
history = [(searchspace.rvs(), np.random.random(), 'SUCCEEDED')
for _ in range(4)]
params = GP().suggest(history, searchspace)
for k, v in iteritems(params):
assert k in searchspace.variables
if isinstance(searchspace[k], EnumVariable):
assert v in searchspace[k].choices
elif isinstance(searchspace[k], FloatVariable):
assert searchspace[k].min <= v <= searchspace[k].max
elif isinstance(searchspace[k], IntVariable):
assert searchspace[k].min <= v <= searchspace[k].max
else:
assert False
def test_gp():
searchspace = SearchSpace()
searchspace.add_float('x', -10, 10)
searchspace.add_float('y', 1, 10, warp='log')
searchspace.add_int('z', -10, 10)
searchspace.add_enum('w', ['opt1', 'opt2'])
history = [(searchspace.rvs(), np.random.random(), 'SUCCEEDED')
for _ in range(4)]
params = GP().suggest(history, searchspace)
for k, v in iteritems(params):
assert k in searchspace.variables
if isinstance(searchspace[k], EnumVariable):
assert v in searchspace[k].choices
elif isinstance(searchspace[k], FloatVariable):
assert searchspace[k].min <= v <= searchspace[k].max
elif isinstance(searchspace[k], IntVariable):
assert searchspace[k].min <= v <= searchspace[k].max
else:
assert False
def test_2_2():
s = SearchSpace()
s.add_int('a', 0, 3)
values = [pyll.stochastic.sample(s['a'].to_hyperopt())
for _ in xrange(200)]
_run_chi2_test(values, bin_edges=range(5))
def test_2_1():
s = SearchSpace()
s.add_int('a', 0, 3)
values = [s.rvs()['a'] for _ in xrange(100)]
_run_chi2_test(values, bin_edges=range(5))
def test_2_1():
s = SearchSpace()
s.add_int('a', 0, 3)
values = [s.rvs()['a'] for _ in xrange(100)]
_run_chi2_test(values, bin_edges=range(5))
