Move features to its own package

miplearn/components/component.py

@@ -7,7 +7,7 @@ from typing import Any, List, TYPE_CHECKING, Tuple, Dict, Hashable, Optional
 import numpy as np
 from p_tqdm import p_umap
 
-from miplearn.features import Sample
+from miplearn.features.sample import Sample
 from miplearn.instance.base import Instance
 from miplearn.types import LearningSolveStats
 

miplearn/components/dynamic_common.py

@@ -12,7 +12,7 @@ from miplearn.classifiers import Classifier
 from miplearn.classifiers.threshold import Threshold
 from miplearn.components import classifier_evaluation_dict
 from miplearn.components.component import Component
-from miplearn.features import Sample
+from miplearn.features.sample import Sample
 from miplearn.instance.base import Instance
 
 logger = logging.getLogger(__name__)

miplearn/components/dynamic_lazy.py

@@ -13,7 +13,7 @@ from miplearn.classifiers.counting import CountingClassifier
 from miplearn.classifiers.threshold import MinProbabilityThreshold, Threshold
 from miplearn.components.component import Component
 from miplearn.components.dynamic_common import DynamicConstraintsComponent
-from miplearn.features import Sample
+from miplearn.features.sample import Sample
 from miplearn.instance.base import Instance
 from miplearn.types import LearningSolveStats
 

miplearn/components/dynamic_user_cuts.py

@@ -13,7 +13,7 @@ from miplearn.classifiers.counting import CountingClassifier
 from miplearn.classifiers.threshold import Threshold, MinProbabilityThreshold
 from miplearn.components.component import Component
 from miplearn.components.dynamic_common import DynamicConstraintsComponent
-from miplearn.features import Sample
+from miplearn.features.sample import Sample
 from miplearn.instance.base import Instance
 from miplearn.types import LearningSolveStats
 

miplearn/components/objective.py

@@ -12,7 +12,7 @@ from sklearn.linear_model import LinearRegression
 from miplearn.classifiers import Regressor
 from miplearn.classifiers.sklearn import ScikitLearnRegressor
 from miplearn.components.component import Component
-from miplearn.features import Sample
+from miplearn.features.sample import Sample
 from miplearn.instance.base import Instance
 from miplearn.types import LearningSolveStats
 

miplearn/components/primal.py

@@ -21,7 +21,7 @@ from miplearn.classifiers.adaptive import AdaptiveClassifier
 from miplearn.classifiers.threshold import MinPrecisionThreshold, Threshold
 from miplearn.components import classifier_evaluation_dict
 from miplearn.components.component import Component
-from miplearn.features import Sample
+from miplearn.features.sample import Sample
 from miplearn.instance.base import Instance
 from miplearn.types import (
     LearningSolveStats,

miplearn/components/static_lazy.py

@@ -12,7 +12,7 @@ from miplearn.classifiers import Classifier
 from miplearn.classifiers.counting import CountingClassifier
 from miplearn.classifiers.threshold import MinProbabilityThreshold, Threshold
 from miplearn.components.component import Component
-from miplearn.features import Sample
+from miplearn.features.sample import Sample
 from miplearn.solvers.internal import Constraints
 from miplearn.instance.base import Instance
 from miplearn.types import LearningSolveStats

miplearn/features/__init__.py

@@ -0,0 +1,3 @@
+#  MIPLearn: Extensible Framework for Learning-Enhanced Mixed-Integer Optimization
+#  Copyright (C) 2020-2021, UChicago Argonne, LLC. All rights reserved.
+#  Released under the modified BSD license. See COPYING.md for more details.

miplearn/features/extractor.py

@@ -9,30 +9,13 @@ from typing import TYPE_CHECKING, Dict, Optional, List, Hashable, Any
 
 import numpy as np
 
+from miplearn.features.sample import Sample
+
 if TYPE_CHECKING:
     from miplearn.solvers.internal import InternalSolver
     from miplearn.instance.base import Instance
 
 
-class Sample:
-    def __init__(
-        self,
-        data: Optional[Dict[str, Any]] = None,
-    ) -> None:
-        if data is None:
-            data = {}
-        self._data: Dict[str, Any] = data
-
-    def get(self, key: str) -> Optional[Any]:
-        if key in self._data:
-            return self._data[key]
-        else:
-            return None
-
-    def put(self, key: str, value: Any) -> None:
-        self._data[key] = value
-
-
 class FeaturesExtractor:
     def __init__(
         self,

miplearn/features/sample.py

@@ -0,0 +1,24 @@
+#  MIPLearn: Extensible Framework for Learning-Enhanced Mixed-Integer Optimization
+#  Copyright (C) 2020-2021, UChicago Argonne, LLC. All rights reserved.
+#  Released under the modified BSD license. See COPYING.md for more details.
+
+from typing import Dict, Optional, Any
+
+
+class Sample:
+    def __init__(
+        self,
+        data: Optional[Dict[str, Any]] = None,
+    ) -> None:
+        if data is None:
+            data = {}
+        self._data: Dict[str, Any] = data
+
+    def get(self, key: str) -> Optional[Any]:
+        if key in self._data:
+            return self._data[key]
+        else:
+            return None
+
+    def put(self, key: str, value: Any) -> None:
+        self._data[key] = value

miplearn/instance/base.py

@@ -6,7 +6,7 @@ import logging
 from abc import ABC, abstractmethod
 from typing import Any, List, Hashable, TYPE_CHECKING, Dict
 
-from miplearn.features import Sample
+from miplearn.features.sample import Sample
 
 logger = logging.getLogger(__name__)
 

miplearn/instance/picklegz.py

@@ -10,7 +10,7 @@ from typing import Optional, Any, List, Hashable, cast, IO, TYPE_CHECKING, Dict
 
 from overrides import overrides
 
-from miplearn.features import Sample
+from miplearn.features.sample import Sample
 from miplearn.instance.base import Instance
 
 if TYPE_CHECKING:

miplearn/solvers/internal.py

@@ -18,7 +18,7 @@ from miplearn.types import (
 logger = logging.getLogger(__name__)
 
 if TYPE_CHECKING:
-    from miplearn.features import Sample
+    from miplearn.features.sample import Sample
 
 
 @dataclass

miplearn/solvers/learning.py

@@ -14,7 +14,8 @@ from miplearn.components.dynamic_lazy import DynamicLazyConstraintsComponent
 from miplearn.components.dynamic_user_cuts import UserCutsComponent
 from miplearn.components.objective import ObjectiveValueComponent
 from miplearn.components.primal import PrimalSolutionComponent
-from miplearn.features import FeaturesExtractor, Sample
+from miplearn.features.extractor import FeaturesExtractor
+from miplearn.features.sample import Sample
 from miplearn.instance.base import Instance
 from miplearn.instance.picklegz import PickleGzInstance
 from miplearn.solvers import _RedirectOutput