autoflow.ensemble package¶

Subpackages¶

Submodules¶

autoflow.ensemble.base module¶

class autoflow.ensemble.base.EnsembleEstimator[source]¶

Bases: sklearn.base.BaseEstimator

build_prediction_list()[source]¶

fit_trained_data(estimators_list: List[List[autoflow.utils.typing_.GenericEstimator]], y_true_indexes_list: List[List[numpy.ndarray]], y_preds_list: List[List[numpy.ndarray]], y_true: numpy.ndarray)[source]¶

mainTask = None¶

autoflow.ensemble.trained_data_fetcher module¶

class autoflow.ensemble.trained_data_fetcher.TrainedDataFetcher(task_id: str, hdl_id: str, trial_ids: List[str], resource_manager: autoflow.resource_manager.base.ResourceManager)[source]¶

Bases: autoflow.utils.klass.StrSignatureMixin

fetch() → Tuple[List[List[autoflow.utils.typing_.GenericEstimator]], List[List[numpy.ndarray]], List[List[numpy.ndarray]]][source]¶

autoflow.ensemble.trials_fetcher module¶

class autoflow.ensemble.trials_fetcher.GetBestK(resource_manager: autoflow.resource_manager.base.ResourceManager, task_id: str, hdl_id: str, k: int)[source]¶

Bases: autoflow.ensemble.trials_fetcher.TrialsFetcher

fetch()[source]¶

class autoflow.ensemble.trials_fetcher.GetSpecificTrials(resource_manager: autoflow.resource_manager.base.ResourceManager, task_id: str, hdl_id: str, trial_ids: int)[source]¶