syne_tune.optimizer.schedulers.searchers.bayesopt.utils.comparison_gpy module

class syne_tune.optimizer.schedulers.searchers.bayesopt.utils.comparison_gpy.ThreeHumpCamel[source]

Bases: object

property search_space

evaluate(x1, x2)[source]

syne_tune.optimizer.schedulers.searchers.bayesopt.utils.comparison_gpy.branin_function(x1, x2, r=6)[source]

class syne_tune.optimizer.schedulers.searchers.bayesopt.utils.comparison_gpy.Branin[source]

Bases: object

property search_space

evaluate(x1, x2)[source]

class syne_tune.optimizer.schedulers.searchers.bayesopt.utils.comparison_gpy.BraninWithR(r)[source]

Bases: Branin

evaluate(x1, x2)[source]

class syne_tune.optimizer.schedulers.searchers.bayesopt.utils.comparison_gpy.Ackley[source]

Bases: object

property search_space

evaluate(x1, x2)[source]

class syne_tune.optimizer.schedulers.searchers.bayesopt.utils.comparison_gpy.SimpleQuadratic[source]

Bases: object

property search_space

evaluate(x1, x2)[source]

syne_tune.optimizer.schedulers.searchers.bayesopt.utils.comparison_gpy.evaluate_blackbox(bb_func, inputs)[source]

Return type:: ndarray

syne_tune.optimizer.schedulers.searchers.bayesopt.utils.comparison_gpy.sample_data(bb_cls, num_train, num_grid, expand_datadct=True)[source]

Return type:: Dict[str, Any]

syne_tune.optimizer.schedulers.searchers.bayesopt.utils.comparison_gpy.expand_data(data)[source]

Appends derived entries to data dict, which have non-elementary types.

Return type:: Dict[str, Any]

syne_tune.optimizer.schedulers.searchers.bayesopt.utils.comparison_gpy.data_to_state(data)[source]

Return type:: TuningJobState

syne_tune.optimizer.schedulers.searchers.bayesopt.utils.comparison_gpy.decode_inputs(inputs, ss_limits)[source]

Return type:: (List[Dict[str, Union[int, float, str]]], Dict)

syne_tune.optimizer.schedulers.searchers.bayesopt.utils.comparison_gpy.assert_equal_candidates(candidates1, candidates2, hp_ranges, decimal=5)[source]

syne_tune.optimizer.schedulers.searchers.bayesopt.utils.comparison_gpy.assert_equal_randomstate(randomstate1, randomstate2)[source]