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Functions1,916 in github.com/automl/auto-sklearn

⨍ Functions 1,916◇ Types & classes 344↳ Endpoints 63
Method_get_pipeline_steps
( self, feat_type: Optional[FEAT_TYPE_TYPE] = None, dataset_properties: Optional[Dict[
autosklearn/pipeline/components/data_preprocessing/feature_type_text.py:116
Method_get_pipeline_steps
( self, feat_type: Optional[FEAT_TYPE_TYPE] = None, dataset_properties: Optional[Dict[
autosklearn/pipeline/components/data_preprocessing/feature_type_categorical.py:123
Method_get_scheduler_info
(self)
autosklearn/util/single_thread_client.py:101
Method_iter_indices
(self, X, y, groups=None)
autosklearn/evaluation/splitter.py:14
Function_load_file
(f)
scripts/2015_nips_paper/run/score_ensemble.py:16
Function_make
( id: int | None = None, dummy: bool = False, backend: Backend | None = None,
test/fixtures/ensemble_building.py:27
Function_make
( X: Optional[SUPPORTED_FEAT_TYPES] = None, y: Optional[SUPPORTED_TARGET_TYPES] = None,
test/fixtures/ensembles.py:42
Function_make
( name: str = "iris", make_sparse: bool = False, add_NaNs: bool = False, train
test/fixtures/datasets.py:77
Function_make
( path: str | Path | None = None, template: Path | Backend | None = None, datamanager:
test/fixtures/backend.py:98
Function_make_binary_data
( dims: Tuple[int, ...] = (100, 3), weights: Optional[Sequence[float] | np.ndarray] = None, types:
test/fixtures/datasets.py:120
Function_make_multiclass_data
( dims: Tuple[int, ...] = (100, 3), classes: int | np.ndarray | List = 3, weights: Optional[np.nda
test/fixtures/datasets.py:146
Function_make_multilabel_data
( dims: Tuple[int, ...] = (100, 3), classes: np.ndarray | List = [[0, 0], [0, 1], [1, 0], [1, 1]],
test/fixtures/datasets.py:175
Function_make_multioutput_regression_data
( dims: Tuple[int, ...] = (100, 3), targets: int = 2, types: Tuple[ np.ndarray | csr_matri
test/fixtures/datasets.py:229
Function_make_regression_data
( dims: Tuple[int, ...] = (100, 3), types: Tuple[ np.ndarray | csr_matrix | pd.DataFrame | lis
test/fixtures/datasets.py:208
Method_make_test_folds
(self, X, y=None)
autosklearn/evaluation/splitter.py:114
Method_predict
( self, X: pd.DataFrame, y: typing.Optional[pd.DataFrame] )
autosklearn/experimental/selector.py:211
Method_predict
( self, X: pd.DataFrame, y: typing.Optional[pd.DataFrame] )
autosklearn/experimental/selector.py:359
Method_predict_proba
( self, X: np.ndarray, model: BaseEstimator, task_type: int, Y_train:
autosklearn/evaluation/abstract_evaluator.py:542
Method_predict_regression
( self, X: np.ndarray, model: BaseEstimator, task_type: int, Y_train:
autosklearn/evaluation/abstract_evaluator.py:572
Function_random
(d1, d2)
autosklearn/metalearning/metalearning/metrics/misc.py:7
Method_read_algorithm_runs
(self, filename)
autosklearn/metalearning/input/aslib_simple.py:82
Method_read_configurations
(self, filename)
autosklearn/metalearning/input/aslib_simple.py:143
Method_read_feature_values
(self, filename)
autosklearn/metalearning/input/aslib_simple.py:126
Function_send_warnings_to_log
(message, category, filename, lineno, file, line)
autosklearn/smbo.py:84
Method_supports_task_type
(cls, task_type: str)
autosklearn/automl.py:2290
Method_supports_task_type
(cls, task_type: str)
autosklearn/automl.py:2380
Method_task_type_id
(cls, task_type: str)
autosklearn/automl.py:2286
Method_task_type_id
(cls, task_type: str)
autosklearn/automl.py:2376
Method_test_preprocessing_dtype
( self, Preprocessor, add_NaNs=False, test_sparse=True, dataset="iris" )
autosklearn/pipeline/util.py:222
Method_unsupported_method
(self)
autosklearn/util/single_thread_client.py:63
Functionaccuracy
(solution, prediction)
examples/40_advanced/example_metrics.py:27
Functionaccuracy_wk
(solution, prediction, extra_argument)
examples/40_advanced/example_metrics.py:37
Functionaccuracy_wk
(solution, prediction, dummy)
examples/40_advanced/custom_metrics.py:23
Functionadd_bow
(classifier: "BagOfWordChoice")
autosklearn/pipeline/components/data_preprocessing/text_encoding/__init__.py:29
Functionadd_classifier
(classifier: Type[AutoSklearnClassificationAlgorithm])
autosklearn/pipeline/components/classification/__init__.py:29
Functionadd_forbidden
(conf_space, pipeline, matches, dataset_properties, include, exclude)
autosklearn/pipeline/create_searchspace_util.py:153
Functionadd_mc
(mc: BaseEstimator)
autosklearn/pipeline/components/data_preprocessing/minority_coalescense/__init__.py:28
Functionadd_ohe
(ohe: "OHEChoice")
autosklearn/pipeline/components/data_preprocessing/categorical_encoding/__init__.py:28
Functionadd_preprocessor
(preprocessor: Type[AutoSklearnPreprocessingAlgorithm])
autosklearn/pipeline/components/feature_preprocessing/__init__.py:27
Functionadd_preprocessor
(preprocessor: Type[AutoSklearnPreprocessingAlgorithm])
autosklearn/pipeline/components/data_preprocessing/__init__.py:26
Functionadd_regressor
(regressor: Type[AutoSklearnRegressionAlgorithm])
autosklearn/pipeline/components/regression/__init__.py:27
Functionadd_rescaler
(rescaler: Rescaling)
autosklearn/pipeline/components/data_preprocessing/rescaling/__init__.py:32
Methodadditional_info_has_key
(rv, key)
autosklearn/estimators.py:1095
Methodassert_value_error
(include=None, exclude=None)
test/test_pipeline/test_base.py:217
Functionautoml_stub
TODO remove
test/fixtures/automl.py:100
Functionbackend
A backend object Fixtures -------- tmp_dir : str A directory to place the backend at make_backend : Callable Factory
test/fixtures/backend.py:133
Functionbuild_grid
Build a grid represented as a list of parameter dictionaries.
autosklearn/metalearning/optimizers/optimizer_base.py:86
Functionbuilder
A default ensemble builder
test/test_ensemble_builder/test_ensemble_builder.py:25
Functioncalculate_metafeatures
(task_id)
scripts/03_calculate_metafeatures.py:35
Functioncallback
( smbo: SMBO, run_info: RunInfo, result: RunValue, time_left: float, )
test/test_automl/test_early_stopping.py:23
Functioncallback
Stop early if we get a very low cost value for a single run The return value indicates to SMAC whether to stop or not. False will stop the se
examples/40_advanced/example_early_stopping_and_callbacks.py:34
Methodcancel
(self)
autosklearn/util/single_thread_client.py:21
Functioncase_classifier
Case basic unfitted AutoMLClassifier
test/test_automl/cases.py:48
Functioncase_classifier_fitted_cv
Case of a fitted cv AutoMLClassifier
test/test_automl/cases.py:111
Functioncase_classifier_fitted_holdout_iterative
Case of a holdout fitted classifier
test/test_automl/cases.py:74
Functioncase_classifier_fitted_holdout_multiobjective
Case of a holdout fitted classifier
test/test_automl/cases.py:148
Functioncase_classifier_fitted_no_ensemble
Case of a fitted classifier but ensemble was disabled
test/test_automl/cases.py:263
Functioncase_classifier_fitted_only_dummy
Case of a fitted classifier but only dummy was found
test/test_automl/cases.py:295
Functioncase_real_runs
Uses real runs from a fitted automl instance which have an ensemble This will copy the ensemble builder based on the AutoML instance parameterss.
test/test_ensemble_builder/test_ensemble_builder_real.py:23
Functioncase_real_runs
Uses real runs from a fitted automl instance
test/test_ensemble_builder/test_manager.py:15
Functioncase_regressor
Case basic unfitted AutoMLClassifier
test/test_automl/cases.py:59
Functioncase_regressor_fitted_cv
Case of fitted regressor with cv resampling
test/test_automl/cases.py:226
Functioncase_regressor_fitted_holdout
Case of fitted regressor with holdout
test/test_automl/cases.py:191
Functioncase_regressor_fitted_only_dummy
Case of a fitted classifier but only dummy was found
test/test_automl/cases.py:335
Methodclasses_
Complies with scikit learn classes_ attribute, which consist of a ndarray of shape (n_classes,) where n_classes are the numbe
autosklearn/data/target_validator.py:427
Functionclean_up_any_dask_clients
Auto injected fixture to close dask clients after each test
test/fixtures/dask.py:16
Methodclear
(self)
autosklearn/metalearning/metafeatures/metafeatures.py:80
Functioncli_start_scheduler
(scheduler_file_name)
examples/60_search/example_parallel_manual_spawning_cli.py:103
Functioncli_start_worker
(scheduler_file_name)
examples/60_search/example_parallel_manual_spawning_cli.py:149
Methodclient
The dask client
autosklearn/util/dask.py:77
Methodclient
Creates a usable dask client or returns an existing one If there is not current client, because it has been closed, create a new one.
autosklearn/util/dask.py:96
Methodclose
Close the dask client
autosklearn/util/dask.py:81
Methodclose
Closes any open dask client
autosklearn/util/dask.py:129
Functioncommand_line_function
(cli_target, params)
autosklearn/metalearning/optimizers/optimizer_base.py:80
Methodconfiguration_fully_fitted
(self)
autosklearn/pipeline/components/regression/random_forest.py:113
Methodconfiguration_fully_fitted
(self)
autosklearn/pipeline/components/regression/__init__.py:160
Methodconfiguration_fully_fitted
(self)
autosklearn/pipeline/components/regression/gradient_boosting.py:143
Methodconfiguration_fully_fitted
(self)
autosklearn/pipeline/components/regression/extra_trees.py:128
Methodconfiguration_fully_fitted
(self)
autosklearn/pipeline/components/regression/mlp.py:193
Methodconfiguration_fully_fitted
(self)
autosklearn/pipeline/components/classification/random_forest.py:121
Methodconfiguration_fully_fitted
(self)
autosklearn/pipeline/components/classification/__init__.py:175
Methodconfiguration_fully_fitted
(self)
autosklearn/pipeline/components/classification/gradient_boosting.py:154
Methodconfiguration_fully_fitted
(self)
autosklearn/pipeline/components/classification/sgd.py:136
Methodconfiguration_fully_fitted
(self)
autosklearn/pipeline/components/classification/extra_trees.py:129
Methodconfiguration_fully_fitted
(self)
autosklearn/pipeline/components/classification/mlp.py:175
Methodconfiguration_fully_fitted
(self)
autosklearn/pipeline/components/classification/passive_aggressive.py:122
Methodconfiguration_fully_fitted
(self)
test/test_evaluation/test_train_evaluator.py:204
Functionconvert_to_num
Convert binary targets to numeric vector typically classification target values :param Ybin: :return:
autosklearn/util/data.py:213
Methodcount_ensembler_iterations
(self)
test/test_automl/automl_utils.py:128
Methodcount_ensembler_success_pynisher_calls
(self)
test/test_automl/automl_utils.py:174
Methodcount_tae_pynisher_calls
[DEBUG] [2020-12-16 11:57:08,987:Client-pynisher] Function called with argument: (), {'queue': <multiprocessing.queues.Queue obje
test/test_automl/automl_utils.py:193
Methodcount_tae_pynisher_returns
(self)
test/test_automl/automl_utils.py:213
Methodcpu_duration
The duration according to cpu clock time
autosklearn/util/stopwatch.py:50
Methodcpu_elapsed
Get the currently elapsed cpu time for a task
autosklearn/util/stopwatch.py:186
Functioncreate_predict_spearman_rank
(metafeatures, experiments, iterator)
autosklearn/metalearning/metalearning/create_datasets.py:32
Functioncreate_predict_spearman_rank_with_cv
(cv_metafeatures, cv_experiments, iterator)
autosklearn/metalearning/metalearning/create_datasets.py:116
Functioncreate_regression_dataset
(metafeatures, experiments)
autosklearn/metalearning/metalearning/create_datasets.py:9
Methodcv_results_
(self)
autosklearn/estimators.py:905
Methodcv_results_
(self)
autosklearn/automl.py:1873
Functiondask_client
Create a dask client with two workers.
test/fixtures/dask.py:91
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