Search is not available for this dataset
repo stringlengths 2 152 ⌀ | file stringlengths 15 239 | code stringlengths 0 58.4M | file_length int64 0 58.4M | avg_line_length float64 0 1.81M | max_line_length int64 0 12.7M | extension_type stringclasses 364
values |
|---|---|---|---|---|---|---|
auto-sklearn | auto-sklearn-master/autosklearn/ensemble_building/builder.py | from __future__ import annotations
from typing import Any, Iterable, Mapping, Sequence, Type, cast
import logging.handlers
import multiprocessing
import numbers
import os
import pickle
import time
import traceback
from itertools import accumulate
from pathlib import Path
import numpy as np
import pandas as pd
import... | 41,032 | 36.033394 | 88 | py |
auto-sklearn | auto-sklearn-master/autosklearn/ensemble_building/manager.py | from __future__ import annotations
from typing import Any, Dict, Sequence, Type
import logging.handlers
import time
import traceback
import dask.distributed
import numpy as np
from sklearn.utils.validation import check_random_state
from smac.callbacks import IncorporateRunResultCallback
from smac.optimizer.smbo impo... | 15,177 | 37.522843 | 88 | py |
auto-sklearn | auto-sklearn-master/autosklearn/ensemble_building/run.py | from __future__ import annotations
from typing import Tuple
import re
from pathlib import Path
import numpy as np
from autosklearn.util.disk import sizeof
RunID = Tuple[int, int, float]
class Run:
"""Class for storing information about a run used during ensemble building.
Note
----
This is for i... | 5,336 | 28.005435 | 88 | py |
auto-sklearn | auto-sklearn-master/autosklearn/ensembles/__init__.py | from .abstract_ensemble import AbstractEnsemble, AbstractMultiObjectiveEnsemble
from .ensemble_selection import EnsembleSelection
from .multiobjective_dummy_ensemble import MultiObjectiveDummyEnsemble
from .singlebest_ensemble import (
SingleBest,
SingleBestFromRunhistory,
SingleModelEnsemble,
)
__all__ = ... | 523 | 26.578947 | 79 | py |
auto-sklearn | auto-sklearn-master/autosklearn/ensembles/abstract_ensemble.py | from __future__ import annotations
from abc import ABC, abstractmethod
from typing import Any, Dict, List, Sequence, Tuple, Union
import numpy as np
from autosklearn.automl_common.common.utils.backend import Backend
from autosklearn.data.validation import SUPPORTED_FEAT_TYPES
from autosklearn.ensemble_building.run i... | 4,916 | 28.267857 | 87 | py |
auto-sklearn | auto-sklearn-master/autosklearn/ensembles/ensemble_selection.py | from __future__ import annotations
from typing import Dict, List, Sequence, Tuple, Union
import random
import warnings
from collections import Counter
import numpy as np
from sklearn.utils import check_random_state
from autosklearn.automl_common.common.utils.backend import Backend
from autosklearn.constants import ... | 14,007 | 34.373737 | 89 | py |
auto-sklearn | auto-sklearn-master/autosklearn/ensembles/multiobjective_dummy_ensemble.py | from __future__ import annotations
from typing import Sequence
import warnings
import numpy as np
from sklearn.exceptions import NotFittedError
from autosklearn.automl_common.common.utils.backend import Backend
from autosklearn.constants import TASK_TYPES
from autosklearn.data.validation import SUPPORTED_FEAT_TYPES... | 7,582 | 33.312217 | 88 | py |
auto-sklearn | auto-sklearn-master/autosklearn/ensembles/singlebest_ensemble.py | from __future__ import annotations
from typing import Sequence
import os
import numpy as np
from smac.runhistory.runhistory import RunHistory
from autosklearn.automl_common.common.utils.backend import Backend
from autosklearn.data.validation import SUPPORTED_FEAT_TYPES
from autosklearn.ensemble_building.run import ... | 14,288 | 31.255079 | 110 | py |
auto-sklearn | auto-sklearn-master/autosklearn/evaluation/__init__.py | # -*- encoding: utf-8 -*-
from __future__ import annotations
from typing import (
Any,
Callable,
Dict,
List,
Optional,
Sequence,
Tuple,
Type,
Union,
cast,
)
import functools
import json
import logging
import math
import multiprocessing
import time
import traceback
from queue im... | 22,256 | 37.046154 | 136 | py |
auto-sklearn | auto-sklearn-master/autosklearn/evaluation/abstract_evaluator.py | from __future__ import annotations
from typing import Any, Dict, List, Optional, Sequence, TextIO, Tuple, Type, Union, cast
import logging
import multiprocessing
import time
import warnings
import numpy as np
from ConfigSpace import Configuration
from sklearn.base import BaseEstimator
from sklearn.dummy import Dummy... | 21,886 | 33.74127 | 88 | py |
auto-sklearn | auto-sklearn-master/autosklearn/evaluation/splitter.py | import warnings
import numpy as np
from sklearn.model_selection import StratifiedKFold, StratifiedShuffleSplit
from sklearn.model_selection._split import _validate_shuffle_split
from sklearn.utils import _approximate_mode, check_random_state, indexable
from sklearn.utils.multiclass import type_of_target
from sklearn.u... | 7,906 | 40.397906 | 86 | py |
auto-sklearn | auto-sklearn-master/autosklearn/evaluation/test_evaluator.py | # -*- encoding: utf-8 -*-
from typing import Any, Dict, List, Optional, Sequence, Tuple, Union
import multiprocessing
import numpy as np
from ConfigSpace import Configuration
from smac.tae import StatusType
from autosklearn.automl_common.common.utils.backend import Backend
from autosklearn.evaluation.abstract_evalua... | 4,640 | 31.454545 | 87 | py |
auto-sklearn | auto-sklearn-master/autosklearn/evaluation/train_evaluator.py | from typing import Any, Dict, List, Optional, Sequence, Tuple, TypeVar, Union, cast
import copy
import json
import logging
import multiprocessing
import warnings
import numpy as np
import pandas
import pandas as pd
import scipy.sparse
from ConfigSpace import Configuration
from sklearn.base import BaseEstimator
from s... | 54,448 | 36.396291 | 88 | py |
auto-sklearn | auto-sklearn-master/autosklearn/evaluation/util.py | from typing import Any, Dict, List, Optional, Tuple, Union
import multiprocessing
import queue
__all__ = ["read_queue"]
def read_queue(
queue_: multiprocessing.Queue,
) -> List[Dict[str, Union[str, bool, int, float, List, Dict, Tuple]]]:
stack = []
while True:
try:
return_value = que... | 1,421 | 23.947368 | 75 | py |
auto-sklearn | auto-sklearn-master/autosklearn/experimental/__init__.py | 0 | 0 | 0 | py | |
auto-sklearn | auto-sklearn-master/autosklearn/experimental/askl2.py | from __future__ import annotations
from typing import Any, Dict, List, Mapping, Optional, Union
import hashlib
import json
import os
import pathlib
import pickle
import dask.distributed
import numpy as np
import pandas as pd
import scipy.sparse
import sklearn
from ConfigSpace import Configuration
import autosklearn... | 21,135 | 37.569343 | 133 | py |
auto-sklearn | auto-sklearn-master/autosklearn/experimental/selector.py | import typing
import copy
import itertools
import numpy as np
import pandas as pd
import scipy.stats
import sklearn.ensemble
class AbstractSelector:
def fit(
self,
X: pd.DataFrame,
y: pd.DataFrame,
minima: typing.Dict[int, typing.Dict[str, float]],
maxima: typing.Dict[int... | 15,280 | 38.690909 | 88 | py |
auto-sklearn | auto-sklearn-master/autosklearn/metalearning/__init__.py | # -*- encoding: utf-8 -*-
__author__ = "feurerm"
| 49 | 15.666667 | 25 | py |
auto-sklearn | auto-sklearn-master/autosklearn/metalearning/mismbo.py | # -*- encoding: utf-8 -*-
import time
from autosklearn.constants import (
MULTICLASS_CLASSIFICATION,
MULTILABEL_CLASSIFICATION,
TASK_TYPES_TO_STRING,
)
from autosklearn.metalearning.optimizers.metalearn_optimizer.metalearner import (
MetaLearningOptimizer,
)
def suggest_via_metalearning(
meta_ba... | 989 | 25.052632 | 85 | py |
auto-sklearn | auto-sklearn-master/autosklearn/metalearning/input/__init__.py | 0 | 0 | 0 | py | |
auto-sklearn | auto-sklearn-master/autosklearn/metalearning/input/aslib_simple.py | import csv
import logging
import os
from collections import OrderedDict, defaultdict
import arff
import pandas as pd
from ConfigSpace.configuration_space import ConfigurationSpace
class AlgorithmSelectionProblem(object):
def __init__(self, directory: str, cs: ConfigurationSpace):
self.logger = logging.ge... | 5,965 | 34.094118 | 88 | py |
auto-sklearn | auto-sklearn-master/autosklearn/metalearning/metafeatures/__init__.py | 0 | 0 | 0 | py | |
auto-sklearn | auto-sklearn-master/autosklearn/metalearning/metafeatures/metafeature.py | from abc import ABCMeta, abstractmethod
import time
from io import StringIO
import arff
import scipy.sparse
class AbstractMetaFeature(object):
__metaclass__ = ABCMeta
@abstractmethod
def __init__(self):
pass
@abstractmethod
def _calculate(cls, X, y, logger, feat_type):
pass
... | 5,215 | 27.659341 | 88 | py |
auto-sklearn | auto-sklearn-master/autosklearn/metalearning/metafeatures/metafeatures.py | import copy
from collections import OrderedDict, defaultdict, deque
import numpy as np
import pandas as pd
import scipy.sparse
import scipy.stats
from scipy.linalg import LinAlgError
# TODO use balanced accuracy!
from sklearn.multiclass import OneVsRestClassifier
from sklearn.utils import check_array
from sklearn.uti... | 47,570 | 34.527259 | 88 | py |
auto-sklearn | auto-sklearn-master/autosklearn/metalearning/metalearning/__init__.py | __author__ = "feurerm"
| 23 | 11 | 22 | py |
auto-sklearn | auto-sklearn-master/autosklearn/metalearning/metalearning/create_datasets.py | import itertools
import logging
import numpy as np
import pandas as pd
import scipy.stats
def create_regression_dataset(metafeatures, experiments):
X = []
X_indices = []
Y = []
for dataset_name in experiments:
experiment = experiments[dataset_name]
mf = metafeatures.loc[dataset_name]
... | 16,234 | 38.987685 | 91 | py |
auto-sklearn | auto-sklearn-master/autosklearn/metalearning/metalearning/meta_base.py | from collections import OrderedDict
import numpy as np
import pandas as pd
from ConfigSpace.configuration_space import Configuration
from ConfigSpace.util import deactivate_inactive_hyperparameters
from ..input import aslib_simple
from ..metafeatures.metafeature import DatasetMetafeatures
class Run(object):
def... | 5,253 | 36.262411 | 88 | py |
auto-sklearn | auto-sklearn-master/autosklearn/metalearning/metalearning/clustering/__init__.py | 0 | 0 | 0 | py | |
auto-sklearn | auto-sklearn-master/autosklearn/metalearning/metalearning/clustering/gmeans.py | __authors__ = ["Matthias Feurer"]
import numpy as np
import scipy.stats
import sklearn.cluster
import sklearn.manifold
import sklearn.preprocessing
import sklearn.utils
class GMeans(object):
def __init__(
self,
minimum_samples_per_cluster=2,
n_init=10,
significance=4,
rest... | 3,723 | 34.466667 | 78 | py |
auto-sklearn | auto-sklearn-master/autosklearn/metalearning/metalearning/kNearestDatasets/__init__.py | __author__ = "feurerm"
| 23 | 11 | 22 | py |
auto-sklearn | auto-sklearn-master/autosklearn/metalearning/metalearning/kNearestDatasets/kND.py | import numpy as np
import pandas as pd
import sklearn.utils
from sklearn.neighbors import NearestNeighbors
from sklearn.preprocessing import MinMaxScaler
class KNearestDatasets(object):
def __init__(self, logger, metric="l1", random_state=None, metric_params=None):
self.logger = logger
self.metri... | 5,748 | 33.220238 | 88 | py |
auto-sklearn | auto-sklearn-master/autosklearn/metalearning/metalearning/metrics/__init__.py | 0 | 0 | 0 | py | |
auto-sklearn | auto-sklearn-master/autosklearn/metalearning/metalearning/metrics/misc.py | import sklearn.utils
def get_random_metric(random_state=1):
random_state = sklearn.utils.check_random_state(random_state)
def _random(d1, d2):
return random_state.random_sample()
return _random
| 218 | 18.909091 | 65 | py |
auto-sklearn | auto-sklearn-master/autosklearn/metalearning/optimizers/__init__.py | __author__ = "feurerm"
| 23 | 11 | 22 | py |
auto-sklearn | auto-sklearn-master/autosklearn/metalearning/optimizers/optimizer_base.py | import subprocess
from collections import OrderedDict
from io import StringIO
from itertools import product
def _parse_categorical(line):
# Categorical Lines consist of:
#
# <name><w*>{<values>}<w*>[<default>]<*w>#Comment
# where:
# <name> - name of parameter.
# <values> - comma seperated list... | 3,099 | 31.978723 | 77 | py |
auto-sklearn | auto-sklearn-master/autosklearn/metalearning/optimizers/metalearn_optimizer/__init__.py | 0 | 0 | 0 | py | |
auto-sklearn | auto-sklearn-master/autosklearn/metalearning/optimizers/metalearn_optimizer/metalearn_optimizer_parser.py | def manipulate_config(config):
return config
| 49 | 15.666667 | 30 | py |
auto-sklearn | auto-sklearn-master/autosklearn/metalearning/optimizers/metalearn_optimizer/metalearner.py | import ast
import numpy as np
import pandas as pd
import sklearn.utils
from autosklearn.metalearning.metalearning.kNearestDatasets.kND import KNearestDatasets
def test_function(params):
return np.random.random()
class MetaLearningOptimizer(object):
def __init__(
self,
dataset_name,
... | 5,566 | 35.149351 | 88 | py |
auto-sklearn | auto-sklearn-master/autosklearn/metrics/__init__.py | from abc import ABCMeta, abstractmethod
from typing import Any, Callable, Dict, List, Optional, Sequence, Union
import collections
from functools import partial
from itertools import product
import numpy as np
import sklearn.metrics
from sklearn.utils.multiclass import type_of_target
from smac.utils.constants import ... | 23,924 | 30.315445 | 122 | py |
auto-sklearn | auto-sklearn-master/autosklearn/metrics/util.py | # -*- encoding: utf-8 -*-
import numpy as np
def sanitize_array(array: np.ndarray) -> np.ndarray:
"""
Replace NaN and Inf (there should not be any!)
:param array:
:return:
"""
a = np.ravel(array)
maxi = np.nanmax(a[np.isfinite(a)])
mini = np.nanmin(a[np.isfinite(a)])
array[array ==... | 461 | 23.315789 | 52 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/__init__.py | 0 | 0 | 0 | py | |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/base.py | from abc import ABCMeta
from typing import Dict, Optional, Union
import numpy as np
import scipy.sparse
from ConfigSpace import Configuration
from sklearn.pipeline import Pipeline
import autosklearn.pipeline.create_searchspace_util
from autosklearn.askl_typing import FEAT_TYPE_TYPE
from .components.base import AutoS... | 22,448 | 35.443182 | 88 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/classification.py | from typing import Optional, Union
import copy
from itertools import product
import numpy as np
from ConfigSpace.configuration_space import Configuration, ConfigurationSpace
from ConfigSpace.forbidden import ForbiddenAndConjunction, ForbiddenEqualsClause
from sklearn.base import ClassifierMixin
from autosklearn.askl... | 14,739 | 35.666667 | 88 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/constants.py | """Constants which are used as dataset properties.
"""
BINARY_CLASSIFICATION = 1
MULTICLASS_CLASSIFICATION = 2
MULTILABEL_CLASSIFICATION = 3
REGRESSION = 4
MULTIOUTPUT_REGRESSION = 5
REGRESSION_TASKS = [REGRESSION, MULTIOUTPUT_REGRESSION]
CLASSIFICATION_TASKS = [
BINARY_CLASSIFICATION,
MULTICLASS_CLASSIFICATIO... | 1,261 | 24.24 | 59 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/create_searchspace_util.py | import itertools
import numpy as np
from ConfigSpace.forbidden import ForbiddenAndConjunction, ForbiddenEqualsClause
from autosklearn.pipeline.constants import (
DENSE,
INPUT,
PREDICTIONS,
SIGNED_DATA,
SPARSE,
UNSIGNED_DATA,
)
def get_match_array(pipeline, dataset_properties, include=None, e... | 11,664 | 37.754153 | 88 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/regression.py | from typing import Optional, Union
import copy
from itertools import product
import numpy as np
from ConfigSpace.configuration_space import Configuration, ConfigurationSpace
from ConfigSpace.forbidden import ForbiddenAndConjunction, ForbiddenEqualsClause
from sklearn.base import RegressorMixin
from autosklearn.askl_... | 11,647 | 36.333333 | 88 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/util.py | import importlib
import inspect
import os
import pkgutil
import numpy as np
import scipy.sparse
import sklearn
import sklearn.base
import sklearn.datasets
import unittest
def find_sklearn_classes(class_):
classifiers = set()
all_subdirectories = []
sklearn_path = sklearn.__path__[0]
for root, dirs, ... | 11,479 | 32.469388 | 87 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/__init__.py | 0 | 0 | 0 | py | |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/base.py | from typing import Dict, Optional
import importlib
import inspect
import pkgutil
import sys
from collections import OrderedDict
from sklearn.base import BaseEstimator, TransformerMixin
from autosklearn.askl_typing import FEAT_TYPE_TYPE
from autosklearn.pipeline.constants import SPARSE
_addons = dict() # type: Dict... | 14,830 | 30.092243 | 96 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/classification/__init__.py | __author__ = "feurerm"
from typing import Type
import os
from collections import OrderedDict
from ConfigSpace.configuration_space import ConfigurationSpace
from ConfigSpace.hyperparameters import CategoricalHyperparameter
from autosklearn.askl_typing import FEAT_TYPE_TYPE
from ..base import (
AutoSklearnChoice... | 5,857 | 32.096045 | 88 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/classification/adaboost.py | from typing import Optional
from ConfigSpace.configuration_space import ConfigurationSpace
from ConfigSpace.hyperparameters import (
CategoricalHyperparameter,
UniformFloatHyperparameter,
UniformIntegerHyperparameter,
)
from autosklearn.askl_typing import FEAT_TYPE_TYPE
from autosklearn.pipeline.component... | 3,243 | 33.510638 | 86 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/classification/bernoulli_nb.py | from typing import Optional
import numpy as np
from ConfigSpace.configuration_space import ConfigurationSpace
from ConfigSpace.hyperparameters import (
CategoricalHyperparameter,
UniformFloatHyperparameter,
)
from autosklearn.askl_typing import FEAT_TYPE_TYPE
from autosklearn.pipeline.components.base import A... | 2,942 | 32.067416 | 84 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/classification/decision_tree.py | from typing import Optional
import numpy as np
from ConfigSpace.configuration_space import ConfigurationSpace
from ConfigSpace.hyperparameters import (
CategoricalHyperparameter,
Constant,
UniformFloatHyperparameter,
UniformIntegerHyperparameter,
UnParametrizedHyperparameter,
)
from autosklearn.as... | 5,380 | 34.873333 | 84 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/classification/extra_trees.py | from typing import Optional
from ConfigSpace.configuration_space import ConfigurationSpace
from ConfigSpace.hyperparameters import (
CategoricalHyperparameter,
UniformFloatHyperparameter,
UniformIntegerHyperparameter,
UnParametrizedHyperparameter,
)
from autosklearn.askl_typing import FEAT_TYPE_TYPE
f... | 7,453 | 33.831776 | 87 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/classification/gaussian_nb.py | from typing import Optional
import numpy as np
from ConfigSpace.configuration_space import ConfigurationSpace
from autosklearn.askl_typing import FEAT_TYPE_TYPE
from autosklearn.pipeline.components.base import AutoSklearnClassificationAlgorithm
from autosklearn.pipeline.constants import DENSE, PREDICTIONS, UNSIGNED_D... | 2,034 | 29.833333 | 83 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/classification/gradient_boosting.py | from typing import Optional
import numpy as np
from ConfigSpace.conditions import EqualsCondition, InCondition
from ConfigSpace.configuration_space import ConfigurationSpace
from ConfigSpace.hyperparameters import (
CategoricalHyperparameter,
Constant,
UniformFloatHyperparameter,
UniformIntegerHyperpar... | 8,726 | 33.768924 | 85 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/classification/k_nearest_neighbors.py | from typing import Optional
from ConfigSpace.configuration_space import ConfigurationSpace
from ConfigSpace.hyperparameters import (
CategoricalHyperparameter,
UniformIntegerHyperparameter,
)
from autosklearn.askl_typing import FEAT_TYPE_TYPE
from autosklearn.pipeline.components.base import AutoSklearnClassif... | 2,610 | 32.474359 | 88 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/classification/lda.py | from typing import Optional
from ConfigSpace.conditions import EqualsCondition
from ConfigSpace.configuration_space import ConfigurationSpace
from ConfigSpace.hyperparameters import (
CategoricalHyperparameter,
UniformFloatHyperparameter,
)
from autosklearn.askl_typing import FEAT_TYPE_TYPE
from autosklearn.p... | 3,282 | 32.845361 | 88 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/classification/liblinear_svc.py | from typing import Optional
from ConfigSpace.configuration_space import ConfigurationSpace
from ConfigSpace.forbidden import ForbiddenAndConjunction, ForbiddenEqualsClause
from ConfigSpace.hyperparameters import (
CategoricalHyperparameter,
Constant,
UniformFloatHyperparameter,
)
from autosklearn.askl_typ... | 5,003 | 32.810811 | 88 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/classification/libsvm_svc.py | from typing import Optional
import resource
import sys
from ConfigSpace.conditions import EqualsCondition, InCondition
from ConfigSpace.configuration_space import ConfigurationSpace
from ConfigSpace.hyperparameters import (
CategoricalHyperparameter,
UniformFloatHyperparameter,
UniformIntegerHyperparamete... | 6,021 | 32.642458 | 88 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/classification/mlp.py | from typing import Optional
import copy
import numpy as np
from ConfigSpace.conditions import InCondition
from ConfigSpace.configuration_space import ConfigurationSpace
from ConfigSpace.hyperparameters import (
CategoricalHyperparameter,
Constant,
UniformFloatHyperparameter,
UniformIntegerHyperparamet... | 10,434 | 34.614334 | 87 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/classification/multinomial_nb.py | from typing import Optional
import numpy as np
from ConfigSpace.configuration_space import ConfigurationSpace
from ConfigSpace.hyperparameters import (
CategoricalHyperparameter,
UniformFloatHyperparameter,
)
from autosklearn.askl_typing import FEAT_TYPE_TYPE
from autosklearn.pipeline.components.base import A... | 3,315 | 31.831683 | 83 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/classification/passive_aggressive.py | from typing import Optional
import numpy as np
from ConfigSpace.configuration_space import ConfigurationSpace
from ConfigSpace.hyperparameters import (
CategoricalHyperparameter,
UniformFloatHyperparameter,
UnParametrizedHyperparameter,
)
from autosklearn.askl_typing import FEAT_TYPE_TYPE
from autosklearn... | 6,119 | 33.382022 | 85 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/classification/qda.py | from typing import Optional
import numpy as np
from ConfigSpace.configuration_space import ConfigurationSpace
from ConfigSpace.hyperparameters import UniformFloatHyperparameter
from autosklearn.askl_typing import FEAT_TYPE_TYPE
from autosklearn.pipeline.components.base import AutoSklearnClassificationAlgorithm
from a... | 2,847 | 32.505882 | 88 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/classification/random_forest.py | from typing import Optional
from ConfigSpace.configuration_space import ConfigurationSpace
from ConfigSpace.hyperparameters import (
CategoricalHyperparameter,
UniformFloatHyperparameter,
UniformIntegerHyperparameter,
UnParametrizedHyperparameter,
)
from autosklearn.askl_typing import FEAT_TYPE_TYPE
f... | 7,096 | 33.960591 | 84 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/classification/sgd.py | from typing import Optional
from ConfigSpace.conditions import EqualsCondition, InCondition
from ConfigSpace.configuration_space import ConfigurationSpace
from ConfigSpace.hyperparameters import (
CategoricalHyperparameter,
UniformFloatHyperparameter,
UnParametrizedHyperparameter,
)
from autosklearn.askl_... | 8,315 | 33.081967 | 87 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/data_preprocessing/__init__.py | from typing import Dict, Optional, Type
import os
from collections import OrderedDict
from ConfigSpace.configuration_space import ConfigurationSpace
from ConfigSpace.hyperparameters import CategoricalHyperparameter
from autosklearn.askl_typing import FEAT_TYPE_TYPE
from autosklearn.pipeline.base import PIPELINE_DATA... | 6,369 | 34 | 85 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/data_preprocessing/feature_type.py | from typing import Any, Dict, List, Optional, Tuple, Union
import numpy as np
import sklearn.compose
from ConfigSpace import Configuration
from ConfigSpace.configuration_space import ConfigurationSpace
from scipy import sparse
from sklearn.base import BaseEstimator
from autosklearn.askl_typing import FEAT_TYPE_TYPE
f... | 13,174 | 38.683735 | 104 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/data_preprocessing/feature_type_categorical.py | from typing import Any, Dict, List, Optional, Tuple, Union
import numpy as np
from ConfigSpace.configuration_space import Configuration, ConfigurationSpace
from sklearn.base import BaseEstimator
from autosklearn.askl_typing import FEAT_TYPE_TYPE
from autosklearn.pipeline.base import DATASET_PROPERTIES_TYPE, BasePipel... | 6,216 | 37.85625 | 112 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/data_preprocessing/feature_type_numerical.py | from typing import Any, Dict, List, Optional, Tuple, Union
import numpy as np
from ConfigSpace.configuration_space import Configuration, ConfigurationSpace
from sklearn.base import BaseEstimator
from autosklearn.askl_typing import FEAT_TYPE_TYPE
from autosklearn.pipeline.base import DATASET_PROPERTIES_TYPE, BasePipel... | 5,713 | 36.84106 | 116 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/data_preprocessing/feature_type_text.py | from typing import Any, Dict, List, Optional, Tuple, Union
import numpy as np
from ConfigSpace.configuration_space import Configuration, ConfigurationSpace
from sklearn.base import BaseEstimator
from autosklearn.askl_typing import FEAT_TYPE_TYPE
from autosklearn.pipeline.base import DATASET_PROPERTIES_TYPE, BasePipel... | 5,315 | 35.163265 | 114 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/data_preprocessing/balancing/__init__.py | 0 | 0 | 0 | py | |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/data_preprocessing/balancing/balancing.py | from typing import Any, Dict, List, Optional, Tuple, Union
import numpy as np
from ConfigSpace.configuration_space import ConfigurationSpace
from ConfigSpace.hyperparameters import CategoricalHyperparameter
from sklearn.base import BaseEstimator
from autosklearn.askl_typing import FEAT_TYPE_TYPE
from autosklearn.pipe... | 5,382 | 34.183007 | 107 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/data_preprocessing/categorical_encoding/__init__.py | from typing import Any, Dict, Optional
import os
from collections import OrderedDict
from ConfigSpace import Configuration
from ConfigSpace.configuration_space import ConfigurationSpace
from ConfigSpace.hyperparameters import CategoricalHyperparameter
from sklearn.base import BaseEstimator
from autosklearn.askl_typi... | 4,429 | 34.44 | 86 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/data_preprocessing/categorical_encoding/encoding.py | from typing import Dict, Optional, Tuple, Union
import numpy as np
import scipy.sparse
from ConfigSpace.configuration_space import ConfigurationSpace
from sklearn.preprocessing import OrdinalEncoder
from autosklearn.askl_typing import FEAT_TYPE_TYPE
from autosklearn.pipeline.base import DATASET_PROPERTIES_TYPE, PIPEL... | 2,980 | 37.714286 | 82 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/data_preprocessing/categorical_encoding/no_encoding.py | from typing import Dict, Optional, Tuple, Union
import numpy as np
from ConfigSpace.configuration_space import ConfigurationSpace
from autosklearn.askl_typing import FEAT_TYPE_TYPE
from autosklearn.pipeline.base import DATASET_PROPERTIES_TYPE, PIPELINE_DATA_DTYPE
from autosklearn.pipeline.components.base import AutoS... | 1,823 | 33.415094 | 82 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/data_preprocessing/categorical_encoding/one_hot_encoding.py | from typing import Dict, Optional, Tuple, Union
import numpy as np
import scipy.sparse
from ConfigSpace.configuration_space import ConfigurationSpace
from sklearn.preprocessing import OneHotEncoder as DenseOneHotEncoder
from autosklearn.askl_typing import FEAT_TYPE_TYPE
from autosklearn.pipeline.base import DATASET_P... | 2,359 | 36.460317 | 88 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/data_preprocessing/category_shift/__init__.py | 0 | 0 | 0 | py | |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/data_preprocessing/category_shift/category_shift.py | from typing import Dict, Optional, Tuple, Union
import numpy as np
from ConfigSpace.configuration_space import ConfigurationSpace
import autosklearn.pipeline.implementations.CategoryShift
from autosklearn.askl_typing import FEAT_TYPE_TYPE
from autosklearn.pipeline.base import DATASET_PROPERTIES_TYPE, PIPELINE_DATA_DT... | 2,675 | 36.690141 | 82 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/data_preprocessing/imputation/__init__.py | 0 | 0 | 0 | py | |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/data_preprocessing/imputation/categorical_imputation.py | from typing import Dict, Optional, Tuple, Union
import numpy as np
from ConfigSpace.configuration_space import ConfigurationSpace
from scipy.sparse import spmatrix
from autosklearn.askl_typing import FEAT_TYPE_TYPE
from autosklearn.pipeline.base import DATASET_PROPERTIES_TYPE, PIPELINE_DATA_DTYPE
from autosklearn.pip... | 3,653 | 35.909091 | 82 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/data_preprocessing/imputation/numerical_imputation.py | from typing import Dict, Optional, Tuple, Union
import numpy as np
from ConfigSpace.configuration_space import ConfigurationSpace
from ConfigSpace.hyperparameters import CategoricalHyperparameter
from autosklearn.askl_typing import FEAT_TYPE_TYPE
from autosklearn.pipeline.base import DATASET_PROPERTIES_TYPE, PIPELINE... | 2,780 | 35.592105 | 82 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/data_preprocessing/minority_coalescense/__init__.py | from typing import Any, Dict, Optional
import os
from collections import OrderedDict
from ConfigSpace import Configuration
from ConfigSpace.configuration_space import ConfigurationSpace
from ConfigSpace.hyperparameters import CategoricalHyperparameter
from sklearn.base import BaseEstimator
from autosklearn.askl_typi... | 4,515 | 34.84127 | 85 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/data_preprocessing/minority_coalescense/minority_coalescer.py | from typing import Dict, Optional, Tuple, Union
import numpy as np
from ConfigSpace.configuration_space import ConfigurationSpace
from ConfigSpace.hyperparameters import UniformFloatHyperparameter
import autosklearn.pipeline.implementations.MinorityCoalescer
from autosklearn.askl_typing import FEAT_TYPE_TYPE
from aut... | 2,761 | 36.835616 | 85 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/data_preprocessing/minority_coalescense/no_coalescense.py | from typing import Dict, Optional, Tuple, Union
import numpy as np
from ConfigSpace.configuration_space import ConfigurationSpace
from autosklearn.askl_typing import FEAT_TYPE_TYPE
from autosklearn.pipeline.base import DATASET_PROPERTIES_TYPE, PIPELINE_DATA_DTYPE
from autosklearn.pipeline.components.base import AutoS... | 1,861 | 33.481481 | 82 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/data_preprocessing/rescaling/__init__.py | from typing import Dict, Optional
import os
from collections import OrderedDict
from ConfigSpace.configuration_space import ConfigurationSpace
from ConfigSpace.hyperparameters import CategoricalHyperparameter
from sklearn.base import BaseEstimator
from autosklearn.askl_typing import FEAT_TYPE_TYPE
from autosklearn.p... | 3,397 | 34.768421 | 107 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/data_preprocessing/rescaling/abstract_rescaling.py | from typing import Optional, Union
import numpy as np
from ConfigSpace.configuration_space import ConfigurationSpace
from sklearn.base import BaseEstimator
from sklearn.exceptions import NotFittedError
from autosklearn.askl_typing import FEAT_TYPE_TYPE
from autosklearn.pipeline.base import DATASET_PROPERTIES_TYPE, PI... | 1,444 | 29.744681 | 82 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/data_preprocessing/rescaling/minmax.py | from typing import Dict, Optional, Tuple, Union
import numpy as np
from autosklearn.pipeline.base import DATASET_PROPERTIES_TYPE
from autosklearn.pipeline.components.base import AutoSklearnPreprocessingAlgorithm
from autosklearn.pipeline.components.data_preprocessing.rescaling.abstract_rescaling import ( # noqa: E50... | 1,703 | 36.043478 | 107 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/data_preprocessing/rescaling/none.py | from typing import Dict, Optional, Tuple, Union
from autosklearn.pipeline.base import DATASET_PROPERTIES_TYPE, PIPELINE_DATA_DTYPE
from autosklearn.pipeline.components.base import AutoSklearnPreprocessingAlgorithm
from autosklearn.pipeline.components.data_preprocessing.rescaling.abstract_rescaling import ( # noqa: E5... | 1,767 | 37.434783 | 107 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/data_preprocessing/rescaling/normalize.py | from typing import Dict, Optional, Tuple, Union
import numpy as np
from autosklearn.pipeline.base import DATASET_PROPERTIES_TYPE
from autosklearn.pipeline.components.base import AutoSklearnPreprocessingAlgorithm
from autosklearn.pipeline.components.data_preprocessing.rescaling.abstract_rescaling import ( # noqa: E50... | 1,803 | 36.583333 | 107 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/data_preprocessing/rescaling/power_transformer.py | from typing import Dict, Optional, Tuple, Union
import numpy as np
from autosklearn.pipeline.base import DATASET_PROPERTIES_TYPE
from autosklearn.pipeline.components.base import AutoSklearnPreprocessingAlgorithm
from autosklearn.pipeline.components.data_preprocessing.rescaling.abstract_rescaling import ( # noqa: E50... | 1,715 | 35.510638 | 107 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/data_preprocessing/rescaling/quantile_transformer.py | from typing import Dict, Optional, Tuple, Union
import numpy as np
from ConfigSpace.configuration_space import ConfigurationSpace
from ConfigSpace.hyperparameters import (
CategoricalHyperparameter,
UniformIntegerHyperparameter,
)
from autosklearn.askl_typing import FEAT_TYPE_TYPE
from autosklearn.pipeline.ba... | 2,766 | 34.025316 | 107 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/data_preprocessing/rescaling/robust_scaler.py | from typing import Dict, Optional, Tuple, Union
import numpy as np
from ConfigSpace.configuration_space import ConfigurationSpace
from ConfigSpace.hyperparameters import UniformFloatHyperparameter
from scipy import sparse
from sklearn.exceptions import NotFittedError
from autosklearn.askl_typing import FEAT_TYPE_TYPE... | 2,827 | 33.91358 | 107 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/data_preprocessing/rescaling/standardize.py | from typing import Dict, Optional, Tuple, Union
import numpy as np
from scipy import sparse
from sklearn.exceptions import NotFittedError
from autosklearn.pipeline.base import DATASET_PROPERTIES_TYPE, PIPELINE_DATA_DTYPE
from autosklearn.pipeline.components.base import AutoSklearnPreprocessingAlgorithm
from autosklea... | 2,168 | 36.396552 | 107 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/data_preprocessing/text_encoding/__init__.py | from typing import Any, Dict, Optional
import os
from collections import OrderedDict
from ConfigSpace import Configuration
from ConfigSpace.configuration_space import ConfigurationSpace
from ConfigSpace.hyperparameters import CategoricalHyperparameter
from sklearn.base import BaseEstimator
from autosklearn.askl_typi... | 4,514 | 34 | 86 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/data_preprocessing/text_encoding/tfidf_encoding.py | from typing import Dict, Optional, Tuple, Union
import itertools
import ConfigSpace.hyperparameters as CSH
import numpy as np
import pandas as pd
from ConfigSpace import EqualsCondition
from ConfigSpace.configuration_space import ConfigurationSpace
from scipy.sparse import hstack
from sklearn.feature_extraction.text ... | 7,354 | 34.02381 | 85 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/data_preprocessing/text_feature_reduction/__init__.py | 0 | 0 | 0 | py | |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/data_preprocessing/text_feature_reduction/truncated_svd.py | from typing import Dict, Optional, Tuple, Union
import ConfigSpace.hyperparameters as CSH
import numpy as np
from ConfigSpace.configuration_space import ConfigurationSpace
from sklearn.decomposition import TruncatedSVD
from autosklearn.askl_typing import FEAT_TYPE_TYPE
from autosklearn.pipeline.base import DATASET_PR... | 3,468 | 35.904255 | 82 | py |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/data_preprocessing/variance_threshold/__init__.py | 0 | 0 | 0 | py | |
auto-sklearn | auto-sklearn-master/autosklearn/pipeline/components/data_preprocessing/variance_threshold/variance_threshold.py | from typing import Dict, Optional, Tuple, Union
import numpy as np
import sklearn.feature_selection
from ConfigSpace.configuration_space import ConfigurationSpace
from autosklearn.askl_typing import FEAT_TYPE_TYPE
from autosklearn.pipeline.base import DATASET_PROPERTIES_TYPE, PIPELINE_DATA_DTYPE
from autosklearn.pipe... | 2,208 | 37.086207 | 86 | py |