syne_tune.optimizer.schedulers.searchers.botorch.botorch_transfer_searcher module

syne_tune.optimizer.schedulers.searchers.botorch.botorch_transfer_searcher.parse_value(val)

syne_tune.optimizer.schedulers.searchers.botorch.botorch_transfer_searcher.configs_from_df(df)

Return type:

List[dict]

class syne_tune.optimizer.schedulers.searchers.botorch.botorch_transfer_searcher.BoTorchTransfer(config_space, metric, transfer_learning_evaluations, new_task_id, random_seed=None, encode_tasks_ordinal=False, **kwargs)

Bases: BoTorch

class syne_tune.optimizer.schedulers.searchers.botorch.botorch_transfer_searcher.BoTorchTransferSearcher(config_space, metric, transfer_learning_evaluations, new_task_id, points_to_evaluate=None, allow_duplicates=False, num_init_random=0, encode_tasks_ordinal=False, **kwargs)

Bases: BoTorchSearcher

dataset_size()

Returns:

Size of dataset a model is fitted to, or 0 if no model is fitted to data

objectives()