deephyper.search.nas.NeuralArchitectureSearch¶

class deephyper.search.nas.NeuralArchitectureSearch(problem, evaluator, random_state=None, log_dir='.', verbose=0, **kwargs)[source]¶

Bases: deephyper.search._search.Search

Methods

`search`	Execute the search algorithm.
`terminate`	Terminate the search.

search(max_evals: int = - 1, timeout: Optional[int] = None)¶

Execute the search algorithm.

Parameters

max_evals (int, optional) – The maximum number of evaluations of the run function to perform before stopping the search. Defaults to -1, will run indefinitely.
timeout (int, optional) – The time budget (in seconds) of the search before stopping. Defaults to None, will not impose a time budget.

Returns

a pandas DataFrame containing the evaluations performed.

Return type

DataFrame

terminate()¶

Terminate the search.

Raises: SearchTerminationError – raised when the search is terminated with SIGALARM