def read_normal(self, expr, label, condition=None):
assert len(expr.inputs()) == 2
assert all([input.name == "literal" for input in expr.inputs()]), \
expr.inputs()
mu = expr.inputs()[0]._obj
sigma = expr.inputs()[1]._obj
return configuration_space_module.NormalFloatHyperparameter(
label, mu, sigma)
def read_lognormal(self, expr, label, condition=None):
# Returns a value drawn according to exp(normal(mu, sigma))
assert len(expr.inputs()) == 2
assert all([input.name == "literal" for input in expr.inputs()]), \
expr.inputs()
mu = expr.inputs()[0]._obj
sigma = expr.inputs()[1]._obj
return configuration_space_module.NormalFloatHyperparameter(label,
mu,
sigma,
base=np.e)
def read_qlognormal(self, expr, label, condition=None):
# Returns a value like round(exp(normal(mu, sigma)) / q) * q
assert len(expr.inputs()) == 3
assert all([input.name == "literal" for input in expr.inputs()]), \
expr.inputs()
mu = expr.inputs()[0]._obj
sigma = expr.inputs()[1]._obj
q = expr.inputs()[2]._obj
if abs(q - 1.0) < 0.0001:
return configuration_space_module.NormalIntegerHyperparameter(
label, mu, sigma, base=np.e)
else:
return configuration_space_module.NormalFloatHyperparameter(
label, mu, sigma, q=q, base=np.e)
def read_qnormal(self, expr, label, condition=None):
assert len(expr.inputs()) == 3
assert all([input.name == "literal" for input in expr.inputs()]), \
expr.inputs()
mu = expr.inputs()[0]._obj
sigma = expr.inputs()[1]._obj
q = expr.inputs()[2]._obj
if abs(q - 1.0) < 0.0001:
return configuration_space_module.NormalIntegerHyperparameter(
label, mu, sigma)
else:
return configuration_space_module.NormalFloatHyperparameter(label,
mu,
sigma,
q=q)