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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
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auto-sklearn | auto-sklearn-master/test/test_pipeline/components/data_preprocessing/test_balancing.py | __author__ = "feurerm"
import copy
import numpy as np
import sklearn.datasets
import sklearn.metrics
from autosklearn.pipeline.classification import SimpleClassificationPipeline
from autosklearn.pipeline.components.classification.adaboost import AdaboostClassifier
from autosklearn.pipeline.components.classification.... | 8,915 | 38.451327 | 120 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/data_preprocessing/test_categorical_imputation.py | import numpy as np
import pandas as pd
from scipy import sparse
from autosklearn.pipeline.components.data_preprocessing.imputation.categorical_imputation import ( # noqa: E501
CategoricalImputation,
)
import pytest
@pytest.fixture
def input_data_imputation(request):
size = (50, 20)
X = np.array(np.rand... | 2,607 | 31.6 | 112 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/data_preprocessing/test_category_shift.py | import numpy as np
import scipy.sparse
from autosklearn.pipeline.components.data_preprocessing.category_shift.category_shift import ( # noqa: E501
CategoryShift,
)
import unittest
class CategoryShiftTest(unittest.TestCase):
def test_data_type_consistency(self):
X = np.random.randint(0, 255, (3, 4))... | 631 | 27.727273 | 108 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/data_preprocessing/test_data_preprocessing.py | import numpy as np
from scipy import sparse
from autosklearn.pipeline.components.data_preprocessing.feature_type import (
FeatTypeSplit,
)
import unittest
class PreprocessingPipelineTest(unittest.TestCase):
def do_a_fit_transform(self, sparse_input):
# X will be the input and Y is what we expect aft... | 5,634 | 41.689394 | 88 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/data_preprocessing/test_data_preprocessing_categorical.py | import numpy as np
from scipy import sparse
from autosklearn.pipeline.components.data_preprocessing.feature_type_categorical import ( # noqa: E501
CategoricalPreprocessingPipeline,
)
import pytest
import unittest
class CategoricalPreprocessingPipelineTest(unittest.TestCase):
def test_data_type_consistency(... | 3,993 | 33.730435 | 103 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/data_preprocessing/test_data_preprocessing_feat_type.py | from autosklearn.pipeline.components.data_preprocessing.feature_type import (
FeatTypeSplit,
)
import unittest
class PreprocessingPipelineFeatTypeTest(unittest.TestCase):
num_numerical = 6
num_categorical = 3
num_text = 11
def test_single_type(self):
DPP = FeatTypeSplit(feat_type={"A": ... | 5,281 | 35.937063 | 78 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/data_preprocessing/test_data_preprocessing_numerical.py | import numpy as np
from scipy import sparse
from autosklearn.pipeline.components.data_preprocessing.feature_type_numerical import (
NumericalPreprocessingPipeline,
)
import unittest
class NumericalPreprocessingPipelineTest(unittest.TestCase):
def test_data_type_consistency(self):
X = np.random.rand(... | 2,906 | 37.76 | 87 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/data_preprocessing/test_data_preprocessing_text.py | import numpy as np
import pandas as pd
from autosklearn.pipeline.components.data_preprocessing.text_encoding.tfidf_encoding import ( # noqa: E501
TfidfEncoder as Vectorizer,
)
import pytest
@pytest.mark.parametrize(
"analyzer,per_column",
[("word", True), ("word", False), ("char", True), ("char", False... | 8,356 | 28.634752 | 107 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/data_preprocessing/test_minority_coalescence.py | import numpy as np
import scipy.sparse
from autosklearn.pipeline.components.data_preprocessing.minority_coalescense.minority_coalescer import ( # noqa: E501
MinorityCoalescer,
)
from autosklearn.pipeline.components.data_preprocessing.minority_coalescense.no_coalescense import ( # noqa: E501
NoCoalescence,
)
... | 1,045 | 31.6875 | 118 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/data_preprocessing/test_numerical_imputation.py | from scipy import sparse
from autosklearn.pipeline.components.data_preprocessing.imputation.numerical_imputation import ( # noqa: E501
NumericalImputation,
)
from autosklearn.pipeline.util import PreprocessingTestCase, _test_preprocessing
class NumericalImputationTest(PreprocessingTestCase):
def test_defaul... | 1,401 | 40.235294 | 110 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/data_preprocessing/test_one_hot_encoding.py | import numpy as np
from scipy import sparse
from autosklearn.pipeline.components.data_preprocessing.categorical_encoding.no_encoding import ( # noqa: E501
NoEncoding,
)
from autosklearn.pipeline.components.data_preprocessing.categorical_encoding.one_hot_encoding import ( # noqa: E501
OneHotEncoder,
)
from au... | 3,571 | 37.408602 | 116 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/data_preprocessing/test_scaling.py | import numpy as np
import sklearn.datasets
from autosklearn.pipeline.components.data_preprocessing.rescaling import RescalingChoice
from autosklearn.pipeline.util import get_dataset
import unittest
class ScalingComponentTest(unittest.TestCase):
def _test_helper(self, Preprocessor, dataset=None, make_sparse=Fals... | 2,419 | 39.333333 | 88 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/data_preprocessing/test_variance_threshold.py | from scipy import sparse
from autosklearn.pipeline.components.data_preprocessing.variance_threshold.variance_threshold import ( # noqa: E501
VarianceThreshold,
)
from autosklearn.pipeline.util import PreprocessingTestCase, _test_preprocessing
class VarianceThresholdTest(PreprocessingTestCase):
def test_defa... | 1,407 | 40.411765 | 116 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/dummy_components/__init__.py | 0 | 0 | 0 | py | |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/dummy_components/dummy_component_1.py | import os
import sys
from autosklearn.pipeline.components.base import AutoSklearnClassificationAlgorithm
# Add the parent directory to the path to import the parent component
this_directory = os.path.dirname(os.path.abspath(__file__))
parent_directory = os.path.abspath(os.path.join(this_directory, ".."))
sys.path.app... | 412 | 28.5 | 83 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/dummy_components/dummy_component_2.py | import os
import sys
from autosklearn.pipeline.components.base import AutoSklearnClassificationAlgorithm
# Add the parent directory to the path to import the parent component as
# dummy_components.dummy_component_2.DummyComponent1
this_directory = os.path.dirname(os.path.abspath(__file__))
parent_directory = os.path.... | 468 | 30.266667 | 83 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/dummy_components/dummy_component_import.py | from autosklearn.pipeline.components.base import find_components # noqa
from autosklearn.pipeline.components.base import ( # noqa
AutoSklearnClassificationAlgorithm,
)
| 174 | 34 | 72 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/feature_preprocessing/__init__.py | __author__ = "feurerm"
| 23 | 11 | 22 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/feature_preprocessing/test_NoPreprocessing.py | import numpy as np
from autosklearn.pipeline.components.feature_preprocessing.no_preprocessing import (
NoPreprocessing,
)
from autosklearn.pipeline.util import PreprocessingTestCase, _test_preprocessing
class NoneComponentTest(PreprocessingTestCase):
def test_default_configuration(self):
transformat... | 1,025 | 43.608696 | 84 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/feature_preprocessing/test_choice.py | import autosklearn.pipeline.components.feature_preprocessing as fp
import unittest
class FeatureProcessingTest(unittest.TestCase):
def test_get_available_components(self):
# Target type
for target_type, num_values in [("classification", 15), ("regression", 14)]:
data_properties = {"ta... | 1,168 | 34.424242 | 84 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/feature_preprocessing/test_densifier.py | import numpy as np
from autosklearn.pipeline.components.feature_preprocessing.densifier import Densifier
from autosklearn.pipeline.util import PreprocessingTestCase, _test_preprocessing
class DensifierComponentTest(PreprocessingTestCase):
def test_default_configuration(self):
transformation, original = _... | 669 | 40.875 | 85 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/feature_preprocessing/test_extra_trees_classification.py | import sklearn.metrics
from sklearn.linear_model import RidgeClassifier
from autosklearn.pipeline.components.feature_preprocessing.extra_trees_preproc_for_classification import ( # noqa: E501
ExtraTreesPreprocessorClassification,
)
from autosklearn.pipeline.util import (
PreprocessingTestCase,
_test_prepr... | 3,081 | 41.805556 | 120 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/feature_preprocessing/test_extra_trees_regression.py | import sklearn.metrics
from sklearn.ensemble import ExtraTreesRegressor
from autosklearn.pipeline.components.feature_preprocessing.extra_trees_preproc_for_regression import ( # noqa: E501
ExtraTreesPreprocessorRegression,
)
from autosklearn.pipeline.util import (
PreprocessingTestCase,
_test_preprocessing... | 3,044 | 42.5 | 116 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/feature_preprocessing/test_fast_ica.py | import sklearn.metrics
from sklearn.linear_model import Ridge
from autosklearn.pipeline.components.feature_preprocessing.fast_ica import FastICA
from autosklearn.pipeline.util import (
PreprocessingTestCase,
_test_preprocessing,
get_dataset,
)
import unittest
class FastICAComponentTest(PreprocessingTest... | 1,715 | 38 | 84 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/feature_preprocessing/test_feature_agglomeration.py | import sklearn.metrics
from sklearn.ensemble import RandomForestClassifier
from autosklearn.pipeline.components.feature_preprocessing.feature_agglomeration import ( # noqa: E501
FeatureAgglomeration,
)
from autosklearn.pipeline.util import (
PreprocessingTestCase,
_test_preprocessing,
get_dataset,
)
... | 1,853 | 40.2 | 103 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/feature_preprocessing/test_kernel_pca.py | import sklearn.metrics
from sklearn.linear_model import RidgeClassifier
from autosklearn.pipeline.components.feature_preprocessing.kernel_pca import KernelPCA
from autosklearn.pipeline.util import (
PreprocessingTestCase,
_test_preprocessing,
get_dataset,
)
import unittest
class KernelPCAComponentTest(P... | 2,267 | 38.103448 | 86 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/feature_preprocessing/test_kitchen_sinks.py | from autosklearn.pipeline.components.feature_preprocessing.kitchen_sinks import (
RandomKitchenSinks,
)
from autosklearn.pipeline.util import PreprocessingTestCase, _test_preprocessing
import unittest
class KitchenSinkComponent(PreprocessingTestCase):
def test_default_configuration(self):
transformat... | 756 | 38.842105 | 87 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/feature_preprocessing/test_liblinear.py | import sklearn.metrics
from sklearn.linear_model import RidgeClassifier
from autosklearn.pipeline.components.feature_preprocessing.liblinear_svc_preprocessor import ( # noqa: E501
LibLinear_Preprocessor,
)
from autosklearn.pipeline.util import (
PreprocessingTestCase,
_test_preprocessing,
get_dataset,... | 2,257 | 35.419355 | 108 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/feature_preprocessing/test_nystroem_sampler.py | import numpy as np
import sklearn.preprocessing
from autosklearn.pipeline.components.feature_preprocessing.nystroem_sampler import (
Nystroem,
)
from autosklearn.pipeline.util import _test_preprocessing, get_dataset
import unittest
class NystroemComponentTest(unittest.TestCase):
def test_default_configurati... | 3,902 | 39.237113 | 84 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/feature_preprocessing/test_pca.py | import numpy as np
from autosklearn.pipeline.components.feature_preprocessing.pca import PCA
from autosklearn.pipeline.util import PreprocessingTestCase, _test_preprocessing
class PCAComponentTest(PreprocessingTestCase):
def test_default_configuration(self):
transformations = []
for i in range(2)... | 873 | 38.727273 | 87 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/feature_preprocessing/test_polynomial.py | import sklearn.metrics
from sklearn.tree import DecisionTreeClassifier
from autosklearn.pipeline.components.feature_preprocessing.polynomial import (
PolynomialFeatures,
)
from autosklearn.pipeline.util import (
PreprocessingTestCase,
_test_preprocessing,
get_dataset,
)
class PolynomialFeaturesCompon... | 2,887 | 42.757576 | 86 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/feature_preprocessing/test_random_trees_embedding.py | import numpy as np
import scipy.sparse
from autosklearn.pipeline.components.feature_preprocessing.random_trees_embedding import ( # noqa: E501
RandomTreesEmbedding,
)
from autosklearn.pipeline.util import _test_preprocessing, get_dataset
import unittest
class RandomTreesEmbeddingComponentTest(unittest.TestCase... | 1,962 | 39.061224 | 104 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/feature_preprocessing/test_select_percentile_classification.py | import numpy as np
import scipy.sparse
import sklearn.preprocessing
from autosklearn.pipeline.components.feature_preprocessing.select_percentile_classification import ( # noqa: E501
SelectPercentileClassification,
)
from autosklearn.pipeline.util import _test_preprocessing, get_dataset
import unittest
class Se... | 4,573 | 40.207207 | 114 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/feature_preprocessing/test_select_percentile_regression.py | import numpy as np
from autosklearn.pipeline.components.feature_preprocessing.select_percentile_regression import ( # noqa: E501
SelectPercentileRegression,
)
from autosklearn.pipeline.util import _test_preprocessing, get_dataset
import unittest
class SelectPercentileRegressionTest(unittest.TestCase):
def ... | 1,944 | 37.137255 | 110 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/feature_preprocessing/test_select_rates_classification.py | import numpy as np
import scipy.sparse
import sklearn.preprocessing
from autosklearn.pipeline.components.feature_preprocessing.select_rates_classification import ( # noqa: E501
SelectClassificationRates,
)
from autosklearn.pipeline.util import _test_preprocessing, get_dataset
import unittest
class SelectClassi... | 4,623 | 39.920354 | 109 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/feature_preprocessing/test_select_rates_regression.py | import numpy as np
import scipy.sparse
import sklearn.preprocessing
from autosklearn.pipeline.components.feature_preprocessing.select_rates_regression import ( # noqa: E501
SelectRegressionRates,
)
from autosklearn.pipeline.util import _test_preprocessing, get_dataset
import unittest
class SelectRegressionRate... | 3,654 | 39.164835 | 105 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/feature_preprocessing/test_truncatedSVD.py | import sklearn.metrics
from sklearn.linear_model import RidgeClassifier
from autosklearn.pipeline.components.feature_preprocessing.truncatedSVD import (
TruncatedSVD,
)
from autosklearn.pipeline.util import (
PreprocessingTestCase,
_test_preprocessing,
get_dataset,
)
import unittest
class TruncatedS... | 1,960 | 36 | 80 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/regression/__init__.py | 0 | 0 | 0 | py | |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/regression/test_adaboost.py | import sklearn.ensemble
from autosklearn.pipeline.components.regression.adaboost import AdaboostRegressor
from .test_base import BaseRegressionComponentTest
class AdaBoostComponentTest(BaseRegressionComponentTest):
__test__ = True
res = dict()
res["default_boston"] = 0.5951486466070626
res["defaul... | 736 | 28.48 | 81 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/regression/test_ard_regression.py | import sklearn.linear_model
from autosklearn.pipeline.components.regression.ard_regression import ARDRegression
from .test_base import BaseRegressionComponentTest
class ARDRegressionComponentTest(BaseRegressionComponentTest):
__test__ = True
res = dict()
res["default_boston"] = 0.7033160711079323
... | 714 | 27.6 | 83 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/regression/test_base.py | from typing import Container, Type
import numpy as np
import sklearn.metrics
from autosklearn.pipeline.components.regression import RegressorChoice, _regressors
from autosklearn.pipeline.components.regression.libsvm_svr import LibSVM_SVR
from autosklearn.pipeline.constants import SPARSE
from autosklearn.pipeline.util... | 15,441 | 31.509474 | 88 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/regression/test_decision_tree.py | import sklearn.tree
from autosklearn.pipeline.components.regression.decision_tree import DecisionTree
from .test_base import BaseRegressionComponentTest
class DecisionTreeComponentTest(BaseRegressionComponentTest):
__test__ = True
res = dict()
res["default_boston"] = 0.35616796434879905
res["defau... | 735 | 28.44 | 81 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/regression/test_extra_trees.py | import sklearn.ensemble
from autosklearn.pipeline.components.regression.extra_trees import ExtraTreesRegressor
from .test_base import BaseRegressionComponentTest
class ExtraTreesComponentTest(BaseRegressionComponentTest):
__test__ = True
res = dict()
res["default_boston"] = 0.8539264243687228
res[... | 998 | 32.3 | 86 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/regression/test_gaussian_process.py | import sklearn.gaussian_process
from autosklearn.pipeline.components.regression.gaussian_process import GaussianProcess
from .test_base import BaseRegressionComponentTest
class GaussianProcessComponentTest(BaseRegressionComponentTest):
__test__ = True
res = dict()
res["default_boston_le_ge"] = [0.6, 0... | 1,133 | 28.842105 | 87 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/regression/test_gradient_boosting.py | import sklearn.ensemble
from autosklearn.pipeline.components.regression.gradient_boosting import (
GradientBoosting,
)
from .test_base import BaseRegressionComponentTest
class GradientBoostingComponentTest(BaseRegressionComponentTest):
__test__ = True
res = dict()
res["default_boston"] = 0.7491382... | 726 | 26.961538 | 74 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/regression/test_k_nearest_neighbors.py | import sklearn.neighbors
from autosklearn.pipeline.components.regression.k_nearest_neighbors import (
KNearestNeighborsRegressor,
)
from .test_base import BaseRegressionComponentTest
class KNearestNeighborsComponentTest(BaseRegressionComponentTest):
__test__ = True
res = dict()
res["default_boston... | 793 | 28.407407 | 76 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/regression/test_liblinear_svr.py | import sklearn.svm
from autosklearn.pipeline.components.regression.liblinear_svr import LibLinear_SVR
from .test_base import BaseRegressionComponentTest
class SupportVectorComponentTest(BaseRegressionComponentTest):
__test__ = True
res = dict()
res["default_boston"] = 0.6768297818275556
res["defaul... | 802 | 29.884615 | 82 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/regression/test_mlp.py | from typing import Any, Dict
import sklearn.neural_network
from autosklearn.pipeline.components.regression.mlp import MLPRegressor
from .test_base import BaseRegressionComponentTest
class MLPComponentTest(BaseRegressionComponentTest):
# NOTE: `default_boston`
#
# Github runners seem to indeterministicl... | 2,944 | 41.071429 | 134 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/regression/test_random_forests.py | import sklearn.ensemble
from autosklearn.pipeline.components.regression.random_forest import RandomForest
from .test_base import BaseRegressionComponentTest
class RandomForestComponentTest(BaseRegressionComponentTest):
__test__ = True
res = dict()
res["default_boston"] = 0.8410063895401654
res["bos... | 990 | 33.172414 | 81 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/regression/test_sgd.py | import sklearn.linear_model
from autosklearn.pipeline.components.regression.sgd import SGD
from .test_base import BaseRegressionComponentTest
class SGDComponentTest(BaseRegressionComponentTest):
__test__ = True
# Values are extremely bad because the invscaling does not drop the
# learning rate aggressi... | 971 | 35 | 77 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/components/regression/test_support_vector_regression.py | import sklearn.linear_model
from autosklearn.pipeline.components.regression.libsvm_svr import LibSVM_SVR
from .test_base import BaseRegressionComponentTest
class SupportVectorComponentTest(BaseRegressionComponentTest):
__test__ = True
res = dict()
res["default_boston"] = -0.030006883949312613
res["... | 722 | 29.125 | 76 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/implementations/__init__.py | __author__ = "feurerm"
| 23 | 11 | 22 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/implementations/test_CategoryShift.py | import numpy as np
import scipy.sparse
from autosklearn.pipeline.implementations.CategoryShift import CategoryShift
import unittest
class CategoryShiftTest(unittest.TestCase):
def test_dense(self):
X = np.random.randint(0, 255, (3, 4))
Y = CategoryShift().fit_transform(X)
self.assertTrue... | 1,181 | 31.833333 | 82 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/implementations/test_MinorityCoalescer.py | import numpy as np
import scipy.sparse
from autosklearn.pipeline.implementations.MinorityCoalescer import MinorityCoalescer
import unittest
class MinorityCoalescerTest(unittest.TestCase):
@property
def X1(self):
# Generates an array with categories 3, 4, 5, 6, 7 and occurences of 30%,
# 30%,... | 3,147 | 34.370787 | 88 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/implementations/test_SparseOneHotEncoder.py | import numpy as np
import scipy.sparse
import sklearn.datasets
import sklearn.model_selection
import sklearn.pipeline
import sklearn.tree
from sklearn.impute import SimpleImputer
from sklearn.tree import DecisionTreeClassifier
from autosklearn.pipeline.implementations.CategoryShift import CategoryShift
from autosklear... | 4,579 | 37.487395 | 88 | py |
auto-sklearn | auto-sklearn-master/test/test_pipeline/implementations/test_util.py | import numpy as np
from autosklearn.pipeline.implementations.util import softmax
import unittest
class UtilTest(unittest.TestCase):
def test_softmax_binary(self):
df = np.array(
[
-40.00643897,
34.69754581,
23.71181359,
-29.8972... | 1,861 | 29.032258 | 88 | py |
auto-sklearn | auto-sklearn-master/test/test_scripts/__init__.py | 0 | 0 | 0 | py | |
auto-sklearn | auto-sklearn-master/test/test_scripts/test_metadata_generation.py | import json
import os
import random
import shutil
import socket
import subprocess
import tempfile
import arff
import numpy as np
from autosklearn.metrics import CLASSIFICATION_METRICS, REGRESSION_METRICS
import unittest
# Abstracted to here to make changing them easier
# seems to be quite fidely with github actions... | 14,119 | 35.675325 | 88 | py |
auto-sklearn | auto-sklearn-master/test/test_util/__init__.py | # -*- encoding: utf-8 -*-
__author__ = "feurerm"
| 49 | 15.666667 | 25 | py |
auto-sklearn | auto-sklearn-master/test/test_util/example_config.yaml | ---
version: 1
disable_existing_loggers: False
formatters:
simple:
format: '[%(levelname)s] [%(asctime)s:%(name)s] %(message)s'
handlers:
console:
class: logging.StreamHandler
level: WARNING
formatter: simple
stream: ext://sys.stdout
file_handler:
class: logging.FileHandler
level: DE... | 1,067 | 19.150943 | 64 | yaml |
auto-sklearn | auto-sklearn-master/test/test_util/test_backend.py | # -*- encoding: utf-8 -*-
import builtins
from autosklearn.automl_common.common.utils.backend import Backend
import unittest
import unittest.mock
class BackendModelsTest(unittest.TestCase):
class BackendStub(Backend):
def __init__(self):
self.__class__ = Backend
def setUp(self):
... | 2,625 | 30.638554 | 88 | py |
auto-sklearn | auto-sklearn-master/test/test_util/test_common.py | # -*- encoding: utf-8 -*-
import os
from autosklearn.util.common import check_pid
import unittest
class TestUtilsCommon(unittest.TestCase):
_multiprocess_can_split_ = True
def test_check_pid(self):
our_pid = os.getpid()
exists = check_pid(our_pid)
self.assertTrue(exists)
ou... | 488 | 19.375 | 59 | py |
auto-sklearn | auto-sklearn-master/test/test_util/test_dask.py | from pathlib import Path
from dask.distributed import Client, LocalCluster
from autosklearn.util.dask import LocalDask, UserDask
import pytest
@pytest.mark.parametrize("n_jobs", [1, 2])
def test_user_dask(tmp_path: Path, n_jobs: int) -> None:
"""
Expects
-------
* A UserDask should not close the cl... | 1,848 | 23.328947 | 75 | py |
auto-sklearn | auto-sklearn-master/test/test_util/test_data.py | from typing import Any, Dict, List, Union
import warnings
from itertools import chain
import numpy as np
import pandas as pd
import sklearn.datasets
from scipy.sparse import csr_matrix, spmatrix
from autosklearn.constants import (
BINARY_CLASSIFICATION,
CLASSIFICATION_TASKS,
MULTICLASS_CLASSIFICATION,
... | 20,493 | 28.918248 | 88 | py |
auto-sklearn | auto-sklearn-master/test/test_util/test_dependencies.py | import re
import numpy as np
import pkg_resources
from autosklearn.util.dependencies import (
IncorrectPackageVersionError,
MissingPackageError,
verify_packages,
)
import unittest
from unittest.mock import Mock, patch
@patch("pkg_resources.get_distribution")
class VerifyPackagesTests(unittest.TestCase)... | 3,257 | 28.889908 | 84 | py |
auto-sklearn | auto-sklearn-master/test/test_util/test_logging.py | import logging
import logging.config
import os
import tempfile
import yaml
from autosklearn.util import logging_
import unittest
class LoggingTest(unittest.TestCase):
def test_setup_logger(self):
# Test that setup_logger function correctly configures the logger
# according to the given dictiona... | 1,667 | 33.75 | 88 | py |
auto-sklearn | auto-sklearn-master/test/test_util/test_single_thread_client.py | import dask.distributed
from distributed.utils_test import inc
from autosklearn.util.single_thread_client import SingleThreadedClient
import pytest
def test_single_thread_client_like_dask_client():
single_thread_client = SingleThreadedClient()
assert isinstance(single_thread_client, dask.distributed.Client)... | 899 | 32.333333 | 70 | py |
auto-sklearn | auto-sklearn-master/test/test_util/test_stopwatch.py | import time
from autosklearn.util.stopwatch import StopWatch
def test_stopwatch_overhead() -> None:
wall_start = time.time()
cpu_start = time.process_time()
watch = StopWatch()
for i in range(1, 1000):
watch.start("task_%d" % i)
watch.stop("task_%d" % i)
cpu_end = time.process_t... | 951 | 22.8 | 54 | py |
auto-sklearn | auto-sklearn-master/test/test_util/test_trials_callback.py | import os
import tempfile
import pandas as pd
from smac.callbacks import IncorporateRunResultCallback
from smac.optimizer.smbo import SMBO
from smac.runhistory.runhistory import RunInfo, RunValue
from smac.tae.base import StatusType
import autosklearn.pipeline.util as putil
from autosklearn.classification import Auto... | 2,623 | 33.986667 | 84 | py |
pipelines | pipelines-master/.cloudbuild.yaml | # Copyright 2018 The Kubeflow Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in... | 11,200 | 40.029304 | 164 | yaml |
pipelines | pipelines-master/.golangci.yaml | run:
timeout: 30m
skip-files:
- "api\\*.go$"
- "backend\\api\\*.go"
issues:
max-same-issues: 0
linters:
disable-all: true
enable: # please keep this alphabetized
- gocritic
- gosimple
- govet
- ineffassign
- misspell
- staticcheck
- stylecheck
- unused
linters-settings: ... | 420 | 14.035714 | 49 | yaml |
pipelines | pipelines-master/.pre-commit-config.yaml | repos:
# other fast helpful checks
- repo: https://github.com/pre-commit/pre-commit-hooks
rev: v2.3.0
hooks:
- id: check-yaml
args: [--allow-multiple-documents]
- id: check-json
- id: end-of-file-fixer
- id: trailing-whitespace
exclude: ^manifests/gcp_marketplace/test... | 1,889 | 29.483871 | 87 | yaml |
pipelines | pipelines-master/.readthedocs.yml | # See https://docs.readthedocs.io/en/stable/config-file/v2.html for details
version: 2
sphinx:
configuration: docs/conf.py
python:
version: 3.7
install:
- requirements: docs/requirements.txt
| 201 | 21.444444 | 75 | yml |
pipelines | pipelines-master/.release.cloudbuild.yaml | # Copyright 2018 The Kubeflow Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in... | 35,587 | 53.499234 | 169 | yaml |
pipelines | pipelines-master/CHANGELOG.md | # Changelog
## [2.0.0](https://github.com/kubeflow/pipelines/compare/1.7.0...2.0.0) (2023-06-20)
### ⚠ BREAKING CHANGES
* **SDK:** SDK client v2beta1 API integration. Fixes [\#8706](https://github.com/kubeflow/pipelines/issues/8706) ([\#9112](https://github.com/kubeflow/pipelines/issues/9112))
* **sdk:** Implement ... | 1,252,888 | 168.952387 | 563 | md |
pipelines | pipelines-master/CONTRIBUTING.md | # How to Contribute
We'd love to accept your patches and contributions to this project. There are
just a few small guidelines you need to follow.
## Contributor License Agreement
Contributions to this project must be accompanied by a Contributor License
Agreement. You (or your employer) retain the copyright to your ... | 9,357 | 47.237113 | 312 | md |
pipelines | pipelines-master/README.md | [](https://coveralls.io/github/kubeflow/pipelines?branch=master)
[](https://kubeflow-pipelines.readthedocs.io/en/stable/?b... | 5,081 | 79.666667 | 497 | md |
pipelines | pipelines-master/RELEASE.md | # Kubeflow Pipelines Release Process
<!-- This TOC is auto generated by "markdown all in one" VS Code plugin -->
- [Kubeflow Pipelines Release Process](#kubeflow-pipelines-release-process)
- [Schedule](#schedule)
- [Release Tags and Branches](#release-tags-and-branches)
- [Contributor Instructions](#contributor-... | 14,320 | 42.528875 | 233 | md |
pipelines | pipelines-master/ROADMAP.md | # Kubeflow Pipelines Roadmap
## Kubeflow Pipelines 2022 Roadmap
### KFP v2
Design: [bit.ly/kfp-v2](https://bit.ly/kfp-v2)
#### KFP v2 Goals
* Enable v2 authoring Critical User Journeys
* Containerized Python component
* Bring-your-own container
* DAG component
* Finalize IR and component packaging format to ... | 9,856 | 54.376404 | 555 | md |
pipelines | pipelines-master/SECURITY.md | # Private Security Vulnerability Reporting
When reporting a vulnerability, please include a description of the issue, the steps you took to create the issue, affected versions, and, if known, mitigations for the issue. If the issue is confirmed as a vulnerability, we will open a Security Advisory. This project follows... | 939 | 93 | 306 | md |
pipelines | pipelines-master/developer_guide.md | # ML Pipeline Development Guideline
This document describes the development guideline to contribute to ML pipeline project. Please check the [main page](https://github.com/kubeflow/pipelines/blob/master/README.md) for instruction on how to deploy a ML pipeline system.
## ML pipeline deployment
The Pipeline system is... | 5,435 | 30.241379 | 232 | md |
pipelines | pipelines-master/.github/pull_request_template.md | **Description of your changes:**
**Checklist:**
- [ ] The title for your pull request (PR) should follow our title convention. [Learn more about the pull request title convention used in this repository](https://github.com/kubeflow/pipelines/blob/master/CONTRIBUTING.md#pull-request-title-convention).
<!--
PR titl... | 885 | 51.117647 | 254 | md |
pipelines | pipelines-master/.github/semantic.yml | # Configuration for https://github.com/zeke/semantic-pull-requests
#
# Kubeflow Pipelines PR title convention is documented in
# https://github.com/kubeflow/pipelines/blob/master/CONTRIBUTING.md#pull-request-title-convention
# Always validate the PR title, and ignore the commits.
titleOnly: true
# TODO: define a list... | 652 | 22.321429 | 97 | yml |
pipelines | pipelines-master/.github/stale.yml | # Configuration for stale probot
# https://probot.github.io/apps/stale/
#
# Number of days of inactivity before an issue becomes stale
daysUntilStale: 90
# Number of days of inactivity before a stale issue is closed
daysUntilClose: 90
# Issues with these labels will never be considered stale
exemptLabels:
- lifecycle... | 884 | 39.227273 | 77 | yml |
pipelines | pipelines-master/.github/ISSUE_TEMPLATE/BUG_BACKEND.md | ---
name: ⚠️ Report Backend Bug
about: Report a Backend bug on Kubeflow Pipelines
title: "[backend] <Bug Name>"
labels: kind/bug, area/backend
---
### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipel... | 1,230 | 31.394737 | 140 | md |
pipelines | pipelines-master/.github/ISSUE_TEMPLATE/BUG_FRONTEND.md | ---
name: ⚠️ Report Frontend Bug
about: Report a Frontend bug on Kubeflow Pipelines
title: "[frontend] <Bug Name>"
labels: kind/bug, area/frontend
---
### Environment
* How did you deploy Kubeflow Pipelines (KFP)?
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/p... | 1,132 | 30.472222 | 140 | md |
pipelines | pipelines-master/.github/ISSUE_TEMPLATE/BUG_REPORT.md | ---
name: Bug Report
title: "[bug] <Bug Name>"
about: Report any other issue encountered with Kubeflow Pipelines
labels: kind/bug
---
### Environment
<!-- Please fill in those that seem relevant. -->
* How do you deploy Kubeflow Pipelines (KFP)?
<!-- For more information, see an overview of KFP installation options... | 1,503 | 30.333333 | 140 | md |
pipelines | pipelines-master/.github/ISSUE_TEMPLATE/BUG_SDK.md | ---
name: ⚠️ Report SDK Bug
about: Report a SDK bug on Kubeflow Pipelines
title: "[sdk] <Bug Name>"
labels: kind/bug, area/sdk
---
### Environment
* KFP version:
<!-- For more information, see an overview of KFP installation options: https://www.kubeflow.org/docs/pipelines/installation/overview/. -->
* KFP SDK vers... | 1,194 | 30.447368 | 140 | md |
pipelines | pipelines-master/.github/ISSUE_TEMPLATE/FEATURE_REQUEST.md | ---
name: 💡 Feature Request
about: An idea to improve Kubeflow Pipelines
title: "[feature] <Description>"
labels: kind/feature
---
### Feature Area
<!-- Uncomment the labels below which are relevant to this feature: -->
<!-- /area frontend -->
<!-- /area backend -->
<!-- /area sdk -->
<!-- /area samples -->
<!-- /ar... | 806 | 22.735294 | 87 | md |
pipelines | pipelines-master/api/README.md | # Pipeline Spec
## Generate golang proto code
Generate golang proto code:
```bash
make clean-go golang
```
## Generate Python proto package
Generate kfp-pipeline-spec:
Update `VERSION` in [v2alpha1/python/setup.py](https://github.com/kubeflow/pipelines/blob/master/api/v2alpha1/python/setup.py) if applicable.
```... | 679 | 20.25 | 141 | md |
pipelines | pipelines-master/api/v2alpha1/go/cachekey/cache_key.pb.go | // Copyright 2021 The Kubeflow Authors
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agr... | 19,318 | 44.671395 | 276 | go |
pipelines | pipelines-master/api/v2alpha1/go/pipelinespec/pipeline_spec.pb.go | // Code generated by protoc-gen-go. DO NOT EDIT.
// versions:
// protoc-gen-go v1.26.0
// protoc v3.17.3
// source: pipeline_spec.proto
package pipelinespec
import (
status "google.golang.org/genproto/googleapis/rpc/status"
protoreflect "google.golang.org/protobuf/reflect/protoreflect"
protoimpl "google.g... | 329,035 | 42.871467 | 307 | go |
pipelines | pipelines-master/api/v2alpha1/python/generate_proto.py | # Copyright 2022 The Kubeflow Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in... | 2,391 | 31.324324 | 80 | py |
pipelines | pipelines-master/api/v2alpha1/python/setup.py | # Copyright 2022 The Kubeflow Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in... | 1,081 | 31.787879 | 74 | py |
pipelines | pipelines-master/api/v2alpha1/python/kfp/pipeline_spec/__init__.py | # Copyright 2020 The Kubeflow Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in... | 585 | 40.857143 | 74 | py |
pipelines | pipelines-master/backend/README.md | This directory contains code for the components that comprise the Kubeflow
Pipelines backend.
## Building & Testing
To run all unittests for backend:
```
go test -v -cover ./backend/...
```
The API server itself can be built using:
```
go build -o /tmp/apiserver backend/src/apiserver/*.go
```
## Code Style
Backe... | 2,631 | 34.567568 | 348 | md |
pipelines | pipelines-master/backend/api/README.md | # Kubeflow Pipelines backend API
## Before you begin
Tools needed:
* [docker](https://docs.docker.com/get-docker/)
* [make](https://www.gnu.org/software/make/)
* [java](https://www.java.com/en/download/)
* [python3](https://www.python.org/downloads/)
Set the environment variable `API_VERSION` to the version that yo... | 4,136 | 46.011364 | 370 | md |
pipelines | pipelines-master/backend/api/build_kfp_server_api_python_package.sh | #!/bin/bash -e
#
# Copyright 2018-2021 The Kubeflow Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | 2,494 | 31.828947 | 145 | sh |
pipelines | pipelines-master/backend/api/hack/generator.sh | #!/bin/bash
# Copyright 2018 The Kubeflow Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | 9,176 | 56 | 505 | sh |
pipelines | pipelines-master/backend/api/v1beta1/go_client/auth.pb.go | // Copyright 2020 The Kubeflow Authors
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agr... | 16,404 | 39.110024 | 198 | go |