Switchting from HPOlibConfigspace to ConfigSpace

Refactor all the things !

autosklearn/metalearning/metalearning/clustering/cluster_instances.py

@@ -11,7 +11,7 @@
 import sklearn.utils
 
 from pyMetaLearn.metalearning.meta_base import MetaBase, Run
-from HPOlibConfigSpace.configuration_space import ConfigurationSpace
+from ConfigSpace.configuration_space import ConfigurationSpace
 
 logging.basicConfig()
 

autosklearn/metalearning/metalearning/meta_base.py

@@ -4,7 +4,7 @@
 
 from ..input import aslib_simple
 from ..metafeatures.metafeature import DatasetMetafeatures
-from HPOlibConfigSpace.configuration_space import Configuration
+from ConfigSpace.configuration_space import Configuration
 
 
 

autosklearn/metalearning/optimizers/metalearn_optimizer/metalearner.py

@@ -26,7 +26,7 @@ def __init__(self, dataset_name, configuration_space,
         dataset_name : str
             Name of the dataset
 
-        configuration_space : HPOlibConfigSpace.configuration_space.ConfigurationSpace
+        configuration_space : ConfigSpace.configuration_space.ConfigurationSpace
 
         datasets_file : str
             Path to an aslib directory

autosklearn/pipeline/base.py

@@ -203,7 +203,7 @@ def get_hyperparameter_search_space(cls, include=None, exclude=None,
         assembles a list of available estimators and preprocessor components,
         _get_hyperparameter_search_space can be called to do the work of
         creating the actual
-        HPOlibConfigSpace.configuration_space.ConfigurationSpace object.
+        ConfigSpace.configuration_space.ConfigurationSpace object.
 
         Parameters
         ----------
@@ -230,7 +230,7 @@ def get_hyperparameter_search_space(cls, include=None, exclude=None,
 
         Returns
         -------
-        cs : HPOlibConfigSpace.configuration_space.Configuration
+        cs : ConfigSpace.configuration_space.Configuration
             The configuration space describing the AutoSklearnClassifier.
 
         """

autosklearn/pipeline/classification.py

@@ -5,8 +5,8 @@
 
 from sklearn.base import ClassifierMixin
 
-from HPOlibConfigSpace.configuration_space import ConfigurationSpace
-from HPOlibConfigSpace.forbidden import ForbiddenEqualsClause, ForbiddenAndConjunction
+from ConfigSpace.configuration_space import ConfigurationSpace
+from ConfigSpace.forbidden import ForbiddenEqualsClause, ForbiddenAndConjunction
 
 from autosklearn.pipeline.components import classification as \
     classification_components
@@ -30,11 +30,11 @@ class SimpleClassificationPipeline(ClassifierMixin, BasePipeline):
     possible parameters in the __init__ function because we only know the
     available classifiers at runtime. For this reason the user must
     specifiy the parameters by passing an instance of
-    HPOlibConfigSpace.configuration_space.Configuration.
+    ConfigSpace.configuration_space.Configuration.
 
     Parameters
     ----------
-    configuration : HPOlibConfigSpace.configuration_space.Configuration
+    configuration : ConfigSpace.configuration_space.Configuration
         The configuration to evaluate.
 
     random_state : int, RandomState instance or None, optional (default=None)

autosklearn/pipeline/components/base.py

@@ -100,7 +100,7 @@ def get_hyperparameter_search_space(dataset_properties=None):
 
         Returns
         -------
-        HPOlibConfigspace.configuration_space.ConfigurationSpace
+        Configspace.configuration_space.ConfigurationSpace
             The configuration space of this classification algorithm.
         """
         raise NotImplementedError()
@@ -212,7 +212,7 @@ def get_hyperparameter_search_space(dataset_properties=None):
 
         Returns
         -------
-        HPOlibConfigspace.configuration_space.ConfigurationSpace
+        Configspace.configuration_space.ConfigurationSpace
             The configuration space of this preprocessing algorithm.
         """
         raise NotImplementedError()
@@ -311,7 +311,7 @@ def get_hyperparameter_search_space(dataset_properties=None):
 
         Returns
         -------
-        HPOlibConfigspace.configuration_space.ConfigurationSpace
+        Configspace.configuration_space.ConfigurationSpace
             The configuration space of this regression algorithm.
         """
         raise NotImplementedError()

autosklearn/pipeline/components/classification/adaboost.py

@@ -1,8 +1,8 @@
 from autosklearn.pipeline.implementations.MultilabelClassifier import \
     MultilabelClassifier
 
-from HPOlibConfigSpace.configuration_space import ConfigurationSpace
-from HPOlibConfigSpace.hyperparameters import UniformFloatHyperparameter, \
+from ConfigSpace.configuration_space import ConfigurationSpace
+from ConfigSpace.hyperparameters import UniformFloatHyperparameter, \
     UniformIntegerHyperparameter, CategoricalHyperparameter
 
 from autosklearn.pipeline.components.base import AutoSklearnClassificationAlgorithm

autosklearn/pipeline/components/classification/bernoulli_nb.py

@@ -1,7 +1,7 @@
 import numpy as np
 
-from HPOlibConfigSpace.configuration_space import ConfigurationSpace
-from HPOlibConfigSpace.hyperparameters import UniformFloatHyperparameter, \
+from ConfigSpace.configuration_space import ConfigurationSpace
+from ConfigSpace.hyperparameters import UniformFloatHyperparameter, \
     CategoricalHyperparameter
 
 from autosklearn.pipeline.components.base import AutoSklearnClassificationAlgorithm

autosklearn/pipeline/components/classification/decision_tree.py

@@ -1,7 +1,7 @@
 import numpy as np
 
-from HPOlibConfigSpace.configuration_space import ConfigurationSpace
-from HPOlibConfigSpace.hyperparameters import UniformFloatHyperparameter, \
+from ConfigSpace.configuration_space import ConfigurationSpace
+from ConfigSpace.hyperparameters import UniformFloatHyperparameter, \
     UniformIntegerHyperparameter, CategoricalHyperparameter, \
     UnParametrizedHyperparameter, Constant
 

autosklearn/pipeline/components/classification/extra_trees.py

@@ -1,7 +1,7 @@
 import numpy as np
 
-from HPOlibConfigSpace.configuration_space import ConfigurationSpace
-from HPOlibConfigSpace.hyperparameters import UniformFloatHyperparameter, \
+from ConfigSpace.configuration_space import ConfigurationSpace
+from ConfigSpace.hyperparameters import UniformFloatHyperparameter, \
     UniformIntegerHyperparameter, CategoricalHyperparameter, \
     UnParametrizedHyperparameter, Constant
 

autosklearn/pipeline/components/classification/gaussian_nb.py

@@ -1,6 +1,6 @@
 import numpy as np
 
-from HPOlibConfigSpace.configuration_space import ConfigurationSpace
+from ConfigSpace.configuration_space import ConfigurationSpace
 
 from autosklearn.pipeline.components.base import AutoSklearnClassificationAlgorithm
 from autosklearn.pipeline.constants import *

autosklearn/pipeline/components/classification/gradient_boosting.py

@@ -1,7 +1,7 @@
 import numpy as np
 
-from HPOlibConfigSpace.configuration_space import ConfigurationSpace
-from HPOlibConfigSpace.hyperparameters import UniformFloatHyperparameter, \
+from ConfigSpace.configuration_space import ConfigurationSpace
+from ConfigSpace.hyperparameters import UniformFloatHyperparameter, \
     UniformIntegerHyperparameter, UnParametrizedHyperparameter, Constant, \
     CategoricalHyperparameter
 

autosklearn/pipeline/components/classification/k_nearest_neighbors.py

@@ -1,5 +1,5 @@
-from HPOlibConfigSpace.configuration_space import ConfigurationSpace
-from HPOlibConfigSpace.hyperparameters import CategoricalHyperparameter, \
+from ConfigSpace.configuration_space import ConfigurationSpace
+from ConfigSpace.hyperparameters import CategoricalHyperparameter, \
     Constant, UniformIntegerHyperparameter
 
 from autosklearn.pipeline.components.base import AutoSklearnClassificationAlgorithm

autosklearn/pipeline/components/classification/lda.py

@@ -1,7 +1,7 @@
-from HPOlibConfigSpace.configuration_space import ConfigurationSpace
-from HPOlibConfigSpace.hyperparameters import UniformFloatHyperparameter, \
+from ConfigSpace.configuration_space import ConfigurationSpace
+from ConfigSpace.hyperparameters import UniformFloatHyperparameter, \
     UniformIntegerHyperparameter, CategoricalHyperparameter
-from HPOlibConfigSpace.conditions import EqualsCondition
+from ConfigSpace.conditions import EqualsCondition
 
 from autosklearn.pipeline.components.base import \
     AutoSklearnClassificationAlgorithm

autosklearn/pipeline/components/classification/liblinear_svc.py

@@ -1,7 +1,7 @@
-from HPOlibConfigSpace.configuration_space import ConfigurationSpace
-from HPOlibConfigSpace.hyperparameters import UniformFloatHyperparameter, \
+from ConfigSpace.configuration_space import ConfigurationSpace
+from ConfigSpace.hyperparameters import UniformFloatHyperparameter, \
     CategoricalHyperparameter, Constant
-from HPOlibConfigSpace.forbidden import ForbiddenEqualsClause, \
+from ConfigSpace.forbidden import ForbiddenEqualsClause, \
     ForbiddenAndConjunction
 
 from autosklearn.pipeline.components.base import AutoSklearnClassificationAlgorithm

autosklearn/pipeline/components/classification/libsvm_svc.py

@@ -2,9 +2,9 @@
 
 import numpy as np
 
-from HPOlibConfigSpace.configuration_space import ConfigurationSpace
-from HPOlibConfigSpace.conditions import EqualsCondition, InCondition
-from HPOlibConfigSpace.hyperparameters import UniformFloatHyperparameter, \
+from ConfigSpace.configuration_space import ConfigurationSpace
+from ConfigSpace.conditions import EqualsCondition, InCondition
+from ConfigSpace.hyperparameters import UniformFloatHyperparameter, \
     UniformIntegerHyperparameter, CategoricalHyperparameter, \
     UnParametrizedHyperparameter
 

autosklearn/pipeline/components/classification/multinomial_nb.py

@@ -1,7 +1,7 @@
 import numpy as np
 
-from HPOlibConfigSpace.configuration_space import ConfigurationSpace
-from HPOlibConfigSpace.hyperparameters import UniformFloatHyperparameter, \
+from ConfigSpace.configuration_space import ConfigurationSpace
+from ConfigSpace.hyperparameters import UniformFloatHyperparameter, \
     CategoricalHyperparameter
 
 from autosklearn.pipeline.components.base import AutoSklearnClassificationAlgorithm

autosklearn/pipeline/components/classification/passive_aggressive.py

@@ -1,7 +1,7 @@
 import numpy as np
 
-from HPOlibConfigSpace.configuration_space import ConfigurationSpace
-from HPOlibConfigSpace.hyperparameters import UniformFloatHyperparameter, \
+from ConfigSpace.configuration_space import ConfigurationSpace
+from ConfigSpace.hyperparameters import UniformFloatHyperparameter, \
     CategoricalHyperparameter, UnParametrizedHyperparameter, \
     UniformIntegerHyperparameter
 

autosklearn/pipeline/components/classification/proj_logit.py

@@ -1,7 +1,7 @@
 import numpy as np
 
-from HPOlibConfigSpace.configuration_space import ConfigurationSpace
-from HPOlibConfigSpace.hyperparameters import UniformFloatHyperparameter, \
+from ConfigSpace.configuration_space import ConfigurationSpace
+from ConfigSpace.hyperparameters import UniformFloatHyperparameter, \
     UniformIntegerHyperparameter, CategoricalHyperparameter, \
     UnParametrizedHyperparameter, Constant
 

autosklearn/pipeline/components/classification/qda.py

@@ -1,5 +1,5 @@
-from HPOlibConfigSpace.configuration_space import ConfigurationSpace
-from HPOlibConfigSpace.hyperparameters import UniformFloatHyperparameter
+from ConfigSpace.configuration_space import ConfigurationSpace
+from ConfigSpace.hyperparameters import UniformFloatHyperparameter
 
 from autosklearn.pipeline.components.base import \
     AutoSklearnClassificationAlgorithm

autosklearn/pipeline/components/classification/random_forest.py

@@ -1,7 +1,7 @@
 import numpy as np
 
-from HPOlibConfigSpace.configuration_space import ConfigurationSpace
-from HPOlibConfigSpace.hyperparameters import UniformFloatHyperparameter, \
+from ConfigSpace.configuration_space import ConfigurationSpace
+from ConfigSpace.hyperparameters import UniformFloatHyperparameter, \
     UniformIntegerHyperparameter, CategoricalHyperparameter, \
     UnParametrizedHyperparameter, Constant
 

autosklearn/pipeline/components/classification/sgd.py

@@ -1,10 +1,10 @@
 import numpy as np
 
-from HPOlibConfigSpace.configuration_space import ConfigurationSpace
-from HPOlibConfigSpace.hyperparameters import UniformFloatHyperparameter, \
+from ConfigSpace.configuration_space import ConfigurationSpace
+from ConfigSpace.hyperparameters import UniformFloatHyperparameter, \
     CategoricalHyperparameter, UnParametrizedHyperparameter, \
     UniformIntegerHyperparameter
-from HPOlibConfigSpace.conditions import EqualsCondition
+from ConfigSpace.conditions import EqualsCondition
 
 from autosklearn.pipeline.components.base import AutoSklearnClassificationAlgorithm
 from autosklearn.pipeline.constants import *

autosklearn/pipeline/components/data_preprocessing/balancing.py

@@ -1,7 +1,7 @@
 import numpy as np
 
-from HPOlibConfigSpace.configuration_space import ConfigurationSpace
-from HPOlibConfigSpace.hyperparameters import CategoricalHyperparameter
+from ConfigSpace.configuration_space import ConfigurationSpace
+from ConfigSpace.hyperparameters import CategoricalHyperparameter
 
 from autosklearn.pipeline.components.base import \
     AutoSklearnPreprocessingAlgorithm

autosklearn/pipeline/components/data_preprocessing/imputation.py

@@ -1,5 +1,5 @@
-from HPOlibConfigSpace.configuration_space import ConfigurationSpace
-from HPOlibConfigSpace.hyperparameters import CategoricalHyperparameter
+from ConfigSpace.configuration_space import ConfigurationSpace
+from ConfigSpace.hyperparameters import CategoricalHyperparameter
 
 from autosklearn.pipeline.components.base import AutoSklearnPreprocessingAlgorithm
 from autosklearn.pipeline.constants import *

autosklearn/pipeline/components/data_preprocessing/one_hot_encoding.py

@@ -2,10 +2,10 @@
 
 import autosklearn.pipeline.implementations.OneHotEncoder
 
-from HPOlibConfigSpace.configuration_space import ConfigurationSpace
-from HPOlibConfigSpace.hyperparameters import CategoricalHyperparameter, \
+from ConfigSpace.configuration_space import ConfigurationSpace
+from ConfigSpace.hyperparameters import CategoricalHyperparameter, \
     UniformFloatHyperparameter
-from HPOlibConfigSpace.conditions import EqualsCondition
+from ConfigSpace.conditions import EqualsCondition
 
 from autosklearn.pipeline.components.base import AutoSklearnPreprocessingAlgorithm
 from autosklearn.pipeline.constants import *

autosklearn/pipeline/components/data_preprocessing/rescaling.py

@@ -1,9 +1,9 @@
 from collections import OrderedDict
 import copy
 
-from HPOlibConfigSpace.configuration_space import ConfigurationSpace
-from HPOlibConfigSpace.hyperparameters import CategoricalHyperparameter
-from HPOlibConfigSpace.conditions import EqualsCondition, AbstractConjunction
+from ConfigSpace.configuration_space import ConfigurationSpace
+from ConfigSpace.hyperparameters import CategoricalHyperparameter
+from ConfigSpace.conditions import EqualsCondition, AbstractConjunction
 
 from autosklearn.pipeline.constants import *
 

autosklearn/pipeline/components/feature_preprocessing/densifier.py

@@ -1,4 +1,4 @@
-from HPOlibConfigSpace.configuration_space import ConfigurationSpace
+from ConfigSpace.configuration_space import ConfigurationSpace
 
 from autosklearn.pipeline.components.base import \
     AutoSklearnPreprocessingAlgorithm

autosklearn/pipeline/components/feature_preprocessing/extra_trees_preproc_for_classification.py

@@ -1,7 +1,7 @@
 import numpy as np
 
-from HPOlibConfigSpace.configuration_space import ConfigurationSpace
-from HPOlibConfigSpace.hyperparameters import UniformFloatHyperparameter, \
+from ConfigSpace.configuration_space import ConfigurationSpace
+from ConfigSpace.hyperparameters import UniformFloatHyperparameter, \
     UniformIntegerHyperparameter, CategoricalHyperparameter, \
     UnParametrizedHyperparameter, Constant
 

autosklearn/pipeline/components/feature_preprocessing/extra_trees_preproc_for_regression.py

@@ -1,7 +1,7 @@
 import numpy as np
 
-from HPOlibConfigSpace.configuration_space import ConfigurationSpace
-from HPOlibConfigSpace.hyperparameters import UniformFloatHyperparameter, \
+from ConfigSpace.configuration_space import ConfigurationSpace
+from ConfigSpace.hyperparameters import UniformFloatHyperparameter, \
     UniformIntegerHyperparameter, CategoricalHyperparameter, \
     UnParametrizedHyperparameter, Constant
 

autosklearn/pipeline/components/feature_preprocessing/fast_ica.py

@@ -1,9 +1,9 @@
 import warnings
 
-from HPOlibConfigSpace.configuration_space import ConfigurationSpace
-from HPOlibConfigSpace.hyperparameters import CategoricalHyperparameter, \
+from ConfigSpace.configuration_space import ConfigurationSpace
+from ConfigSpace.hyperparameters import CategoricalHyperparameter, \
     UniformIntegerHyperparameter
-from HPOlibConfigSpace.conditions import EqualsCondition
+from ConfigSpace.conditions import EqualsCondition
 
 from autosklearn.pipeline.components.base import \
     AutoSklearnPreprocessingAlgorithm

autosklearn/pipeline/components/feature_preprocessing/feature_agglomeration.py

@@ -1,9 +1,9 @@
 import numpy as np
 
-from HPOlibConfigSpace.configuration_space import ConfigurationSpace
-from HPOlibConfigSpace.hyperparameters import CategoricalHyperparameter, \
+from ConfigSpace.configuration_space import ConfigurationSpace
+from ConfigSpace.hyperparameters import CategoricalHyperparameter, \
     UniformIntegerHyperparameter
-from HPOlibConfigSpace.forbidden import ForbiddenInClause, \
+from ConfigSpace.forbidden import ForbiddenInClause, \
     ForbiddenAndConjunction, ForbiddenEqualsClause
 
 from autosklearn.pipeline.components.base import \

autosklearn/pipeline/components/feature_preprocessing/gem.py

@@ -1,5 +1,5 @@
-from HPOlibConfigSpace.configuration_space import ConfigurationSpace
-from HPOlibConfigSpace.hyperparameters import UniformIntegerHyperparameter, UniformFloatHyperparameter
+from ConfigSpace.configuration_space import ConfigurationSpace
+from ConfigSpace.hyperparameters import UniformIntegerHyperparameter, UniformFloatHyperparameter
 
 from autosklearn.pipeline.components.base import AutoSklearnPreprocessingAlgorithm
 from autosklearn.pipeline.implementations.gem import GEM as GEMImpl

autosklearn/pipeline/components/feature_preprocessing/kernel_pca.py

@@ -2,10 +2,10 @@
 
 import numpy as np
 
-from HPOlibConfigSpace.configuration_space import ConfigurationSpace
-from HPOlibConfigSpace.hyperparameters import CategoricalHyperparameter, \
+from ConfigSpace.configuration_space import ConfigurationSpace
+from ConfigSpace.hyperparameters import CategoricalHyperparameter, \
     UniformIntegerHyperparameter, UniformFloatHyperparameter
-from HPOlibConfigSpace.conditions import EqualsCondition, InCondition
+from ConfigSpace.conditions import EqualsCondition, InCondition
 
 from autosklearn.pipeline.components.base import \
     AutoSklearnPreprocessingAlgorithm

autosklearn/pipeline/components/feature_preprocessing/kitchen_sinks.py

@@ -1,5 +1,5 @@
-from HPOlibConfigSpace.configuration_space import ConfigurationSpace
-from HPOlibConfigSpace.hyperparameters import UniformFloatHyperparameter, \
+from ConfigSpace.configuration_space import ConfigurationSpace
+from ConfigSpace.hyperparameters import UniformFloatHyperparameter, \
     UniformIntegerHyperparameter
 
 from autosklearn.pipeline.components.base import AutoSklearnPreprocessingAlgorithm

autosklearn/pipeline/components/feature_preprocessing/liblinear_svc_preprocessor.py

@@ -1,7 +1,7 @@
-from HPOlibConfigSpace.configuration_space import ConfigurationSpace
-from HPOlibConfigSpace.hyperparameters import UniformFloatHyperparameter, \
+from ConfigSpace.configuration_space import ConfigurationSpace
+from ConfigSpace.hyperparameters import UniformFloatHyperparameter, \
     CategoricalHyperparameter, Constant, UnParametrizedHyperparameter
-from HPOlibConfigSpace.forbidden import ForbiddenEqualsClause, \
+from ConfigSpace.forbidden import ForbiddenEqualsClause, \
     ForbiddenAndConjunction
 
 from autosklearn.pipeline.components.base import \