syne_tune.optimizer.schedulers.searchers.constrained package

class syne_tune.optimizer.schedulers.searchers.constrained.ConstrainedGPFIFOSearcher(config_space, metric, points_to_evaluate=None, **kwargs)

Bases: MultiModelGPFIFOSearcher

Gaussian process-based constrained hyperparameter optimization (to be used with FIFOScheduler).

Additional arguments on top of parent class MultiModelGPFIFOSearcher:

Parameters:

constraint_attr – Name of constraint metric in report passed to _update().

clone_from_state(state)

Together with get_state(), this is needed in order to store and re-create the mutable state of the searcher.

Given state as returned by get_state(), this method combines the non-pickle-able part of the immutable state from self with state and returns the corresponding searcher clone. Afterwards, self is not used anymore.

Parameters:

state – See above

Returns:

New searcher object

Submodules

• syne_tune.optimizer.schedulers.searchers.constrained.constrained_gp_fifo_searcher module
  • ConstrainedGPFIFOSearcher
    • ConstrainedGPFIFOSearcher.clone_from_state()