evalml.tuners.RandomSearchTuner.propose¶

RandomSearchTuner.propose()[source]¶

Generate a unique set of parameters.

If tuner was initialized with with_replacement=True and the tuner is unable to generate a unique set of parameters after replacement_max_attempts tries, then NoParamsException is raised.

Returns: Proposed pipeline parameters
Return type: dict

evalml.tuners.RandomSearchTuner.is_search_space_exhausted evalml.data_checks.DataCheck