def adaptation_blackbox_optimizer_fn(metaparams):
if config.adaptation_string == "MC":
return blackbox_optimization_algorithms.MCBlackboxOptimizer(
config.adaptation_precision_parameter,
config.adaptation_est_type,
config.fvalues_normalization,
config.hyperparameters_update_method,
metaparams,
config.alpha,
num_top_directions=0)
elif config.adaptation_string == "SKLRegression":
return blackbox_optimization_algorithms.SklearnRegressionBlackboxOptimizer(
"lasso", config.regularizer, config.est_type,
config.fvalues_normalization,
config.hyperparameters_update_method, metaparams,
config.alpha)
elif config.adaptation_string == "GeneralRegression":
return blackbox_optimization_algorithms.GeneralRegressionBlackboxOptimizer(
regression_method=getattr(
regression_optimizers,
config.regression_optimizer_string),
regularizer=config.regularizer,
est_type=config.adaptation_est_type,
normalize_fvalues=config.fvalues_normalization,
hyperparameters_update_method=config.
hyperparameters_update_method,
extra_params=metaparams,
step_size=config.alpha)
def es_blackbox_optimizer_fn(metaparams):
return blackbox_optimization_algorithms.MCBlackboxOptimizer(
config.es_precision_parameter,
config.es_est_type,
config.fvalues_normalization,
config.hyperparameters_update_method,
metaparams,
config.es_step_size,
num_top_directions=0)