def __init__(self):
Base.__init__(
self,
dict(
x=scope.uniform(-20, 20),
hf=scope.one_of(dict(kind="raw"), dict(kind="negcos", amp=scope.uniform(0, 1))),
),
)
def config0():
p0 = scope.uniform(0, 1)
p1 = scope.uniform(2, 3)
p2 = scope.one_of(-1, p0)
p3 = scope.one_of(-2, p1)
p4 = 1
p5 = [3, 4, p0]
d = locals()
del d['p1'] # -- don't sample p1 all the time
s = as_apply(d)
return s
def config0():
p0 = scope.uniform(0, 1)
p1 = scope.uniform(2, 3)
p2 = scope.one_of(-1, p0)
p3 = scope.one_of(-2, p1)
p4 = 1
p5 = [3, 4, p0]
p6 = scope.one_of(-3, p1)
d = locals()
d['p1'] = None # -- don't sample p1 all the time, only if p3 says so
s = as_apply(d)
return s
def config0():
p0 = scope.uniform(0, 1)
p1 = scope.uniform(2, 3)
p2 = scope.one_of(-1, p0)
p3 = scope.one_of(-2, p1)
p4 = 1
p5 = [3, 4, p0]
p6 = scope.one_of(-3, p1)
d = locals()
d['p1'] = None # -- don't sample p1 all the time, only if p3 says so
s = as_apply(d)
return s
def test_repeatable():
u = scope.uniform(0, 1)
aa = as_apply(dict(u=u, n=scope.normal(5, 0.1), l=[0, 1, scope.one_of(2, 3), u]))
dd1 = sample(aa, np.random.RandomState(3))
dd2 = sample(aa, np.random.RandomState(3))
dd3 = sample(aa, np.random.RandomState(4))
assert dd1 == dd2
assert dd1 != dd3
def test_repeatable():
u = scope.uniform(0, 1)
aa = as_apply(
dict(u=u, n=scope.normal(5, 0.1), l=[0, 1, scope.one_of(2, 3), u]))
dd1 = sample(aa, np.random.RandomState(3))
dd2 = sample(aa, np.random.RandomState(3))
dd3 = sample(aa, np.random.RandomState(4))
assert dd1 == dd2
assert dd1 != dd3
def __init__(self):
d = dict(
# -- alphabetical order
lu = scope.loguniform(-2, 2),
qlu = scope.qloguniform(np.log(0.01), np.log(20), 2),
qu = scope.quniform(-4.999, 5, 1),
u = scope.uniform(0, 10),
)
base.Bandit.__init__(self, as_apply(d))
def test_sample():
u = scope.uniform(0, 1)
aa = as_apply(dict(u=u, n=scope.normal(5, 0.1), l=[0, 1, scope.one_of(2, 3), u]))
print aa
dd = sample(aa, np.random.RandomState(3))
assert 0 < dd["u"] < 1
assert 4 < dd["n"] < 6
assert dd["u"] == dd["l"][3]
assert dd["l"][:2] == (0, 1)
assert dd["l"][2] in (2, 3)
def test_sample():
u = scope.uniform(0, 1)
aa = as_apply(
dict(u=u, n=scope.normal(5, 0.1), l=[0, 1, scope.one_of(2, 3), u]))
print aa
dd = sample(aa, np.random.RandomState(3))
assert 0 < dd['u'] < 1
assert 4 < dd['n'] < 6
assert dd['u'] == dd['l'][3]
assert dd['l'][:2] == (0, 1)
assert dd['l'][2] in (2, 3)
def hp_uniform(label, *args, **kwargs):
if not isinstance(label, basestring):
raise TypeError('require string label')
return scope.float(
scope.hyperopt_param(label, scope.uniform(*args, **kwargs)))
def hp_uniform(label, *args, **kwargs):
return scope.float(
scope.hyperopt_param(label,
scope.uniform(*args, **kwargs)))
def config1():
p0 = scope.uniform(0, 1)
return as_apply(locals())
def __init__(self, sigma=10):
"""
The second peak is at x=-10.
The prior mean is 0.
"""
Base.__init__(self, dict(x=scope.uniform(-15, 15)))
def __init__(self):
Base.__init__(self, dict(x=scope.uniform(-5, 5)))
def hp_uniform(label, *args, **kwargs):
return scope.float(
scope.hyperopt_param(label, scope.uniform(*args, **kwargs)))
def hp_uniform(label, *args, **kwargs):
if not isinstance(label, basestring):
raise TypeError("require string label")
return scope.float(scope.hyperopt_param(label, scope.uniform(*args, **kwargs)))
def __init__(self):
Base.__init__(self, dict(curve=scope.one_of(0, 1), x=scope.uniform(-20, 20)))
