from __future__ import annotations
from ConfigSpace.configuration_space import Configuration
from ConfigSpace.hyperparameters import Constant
from scipy.stats.qmc import LatinHypercube
from smac.initial_design.abstract_initial_design import AbstractInitialDesign
__copyright__ = "Copyright 2022, automl.org"
__license__ = "3-clause BSD"
[docs]class LatinHypercubeInitialDesign(AbstractInitialDesign):
"""Latin Hypercube initial design. See
https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.qmc.LatinHypercube.html for further information.
"""
def _select_configurations(self) -> list[Configuration]:
params = self._configspace.get_hyperparameters()
constants = 0
for p in params:
if isinstance(p, Constant):
constants += 1
lhd = LatinHypercube(d=len(params) - constants, seed=self._rng.randint(0, 1000000)).random(n=self._n_configs)
return self._transform_continuous_designs(
design=lhd, origin="Initial Design: Latin Hypercube", configspace=self._configspace
)