def get_rf(n_dimensions, rs):
bounds = [(0., 1.) for _ in range(n_dimensions)]
types = np.zeros(n_dimensions)
configspace = smac.configspace.ConfigurationSpace()
for i in range(n_dimensions):
configspace.add_hyperparameter(
smac.configspace.UniformFloatHyperparameter('x%d' % i, 0, 1))
model = RandomForestWithInstancesHPO(
configspace=configspace,
types=types,
bounds=bounds,
log_y=False,
bootstrap=False,
n_iters=5,
n_splits=5,
seed=1,
)
return model
def _get_cs(self, n_dimensions):
configspace = smac.configspace.ConfigurationSpace()
for i in range(n_dimensions):
configspace.add_hyperparameter(
smac.configspace.UniformFloatHyperparameter('x%d' % i, 0, 1))
return configspace