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multi-import package
1 parent cd4495e commit 5a6161f

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Lines changed: 274 additions & 4 deletions

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‎openml/__init__.py‎

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Original file line numberDiff line numberDiff line change
@@ -124,3 +124,10 @@ def populate_cache(
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"__version__",
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"get",
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]
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def __getattr__(name: str):
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if name in __all__:
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return globals()[name]
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if name not in __all__:
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return get(name)

‎openml/base/_base_pkg.py‎

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@@ -20,6 +20,7 @@ class _BasePkg(BaseObject):
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"pkg_obj": "reference", # or "code"
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"pkg_obj_type": None, # openml API type
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"pkg_compression": "zlib", # compression
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"pkg_pypi_name": None, # PyPI package name of objects
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}
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def __init__(self):

‎openml/models/_get.py‎

Lines changed: 11 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -27,7 +27,7 @@ def get(id: str):
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obj = id_lookup.get(id)
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if obj is None:
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raise ValueError(f"Error in openml.get, object with package id {id} " "does not exist.")
30-
return obj().materialize()
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return obj(id).materialize()
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# todo: need to generalize this later to more types
@@ -41,8 +41,16 @@ def _id_lookup(obj_type=None):
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def _id_lookup_cached(obj_type=None):
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all_objs = _all_objects(obj_type=obj_type)
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44-
# todo: generalize that pkg can contain more than one object
45-
return {obj.get_class_tag("pkg_id"): obj for obj in all_objs}
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lookup_dict = {}
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for obj in all_objs:
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obj_index = obj.get_class_tag("pkg_id")
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if obj_index != "__multiple":
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lookup_dict[obj_index] = obj
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else:
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obj_all_ids = obj.contained_ids()
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lookup_dict.update({obj_id: obj for obj_id in obj_all_ids})
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return lookup_dict
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@lru_cache

‎openml/models/base/_base.py‎

Lines changed: 26 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -7,6 +7,28 @@
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class _OpenmlModelPkg(_BasePkg):
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_obj = None
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_obj_dict = {}
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def __init__(self, id=None):
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super().__init__()
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pkg_id = self.get_tag("pkg_id")
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if pkg_id == "__multiple":
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self._obj = self._obj_dict.get(id, None)
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@classmethod
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def contained_ids(cls):
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"""Return list of ids of objects contained in this package.
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Returns
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-------
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ids : list of str
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list of unique identifiers of objects contained in this package
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"""
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pkg_id = cls.get_class_tag("pkg_id")
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if pkg_id != "__multiple":
30+
return [cls.get_class_tag("pkg_id")]
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return list(cls._obj_dict.keys())
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def _materialize(self):
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pkg_obj = self.get_tag("pkg_obj")
@@ -23,7 +45,10 @@ def _materialize(self):
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if pkg_obj == "reference":
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from skbase.utils.dependencies import _safe_import
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26-
return _safe_import(self._obj)
48+
obj_loc = self._obj
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pkg_name = self.get_tag("pkg_pypi_name")
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51+
return _safe_import(obj_loc, pkg_name=pkg_name)
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if pkg_obj == "code":
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exec(self._obj)

‎openml/models/classification/auto_sklearn.py‎

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Original file line numberDiff line numberDiff line change
@@ -9,6 +9,7 @@ class OpenmlPkg__AutoSklearnClassifier(_ModelPkgClassifier):
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_tags = {
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"pkg_id": "AutoSklearnClassifier",
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"python_dependencies": "auto-sklearn",
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"pkg_pypi_name": "auto-sklearn",
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}
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_obj = "autosklearn.classification.AutoSklearnClassifier"

‎openml/models/classification/scikit_learn.py‎

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@@ -0,0 +1,227 @@
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"""Auto-sklearn classifier."""
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from __future__ import annotations
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from openml.models.apis import _ModelPkgClassifier
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class OpenmlPkg__Sklearn(_ModelPkgClassifier):
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_tags = {
10+
"pkg_id": "__multiple",
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"python_dependencies": "scikit-learn",
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"pkg_pypi_name": "scikit-learn",
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}
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# obtained via utils._indexing._preindex_sklearn
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# todo: automate generation
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# todo: include version bounds for availability
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# todo: test generated index against actual index
19+
_obj_dict = {
20+
"ARDRegression": "sklearn.linear_model._bayes.ARDRegression",
21+
"AdaBoostClassifier": "sklearn.ensemble._weight_boosting.AdaBoostClassifier",
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"AdaBoostRegressor": "sklearn.ensemble._weight_boosting.AdaBoostRegressor",
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"AdditiveChi2Sampler": "sklearn.kernel_approximation.AdditiveChi2Sampler",
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"AffinityPropagation": "sklearn.cluster._affinity_propagation.AffinityPropagation",
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"AgglomerativeClustering": "sklearn.cluster._agglomerative.AgglomerativeClustering",
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"BaggingClassifier": "sklearn.ensemble._bagging.BaggingClassifier",
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"BaggingRegressor": "sklearn.ensemble._bagging.BaggingRegressor",
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"BayesianGaussianMixture": "sklearn.mixture._bayesian_mixture.BayesianGaussianMixture",
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"BayesianRidge": "sklearn.linear_model._bayes.BayesianRidge",
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"BernoulliNB": "sklearn.naive_bayes.BernoulliNB",
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"BernoulliRBM": "sklearn.neural_network._rbm.BernoulliRBM",
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"Binarizer": "sklearn.preprocessing._data.Binarizer",
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"Birch": "sklearn.cluster._birch.Birch",
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"BisectingKMeans": "sklearn.cluster._bisect_k_means.BisectingKMeans",
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"CCA": "sklearn.cross_decomposition._pls.CCA",
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"CalibratedClassifierCV": "sklearn.calibration.CalibratedClassifierCV",
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"CategoricalNB": "sklearn.naive_bayes.CategoricalNB",
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"ClassifierChain": "sklearn.multioutput.ClassifierChain",
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"ColumnTransformer": "sklearn.compose._column_transformer.ColumnTransformer",
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"ComplementNB": "sklearn.naive_bayes.ComplementNB",
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"CountVectorizer": "sklearn.feature_extraction.text.CountVectorizer",
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"DBSCAN": "sklearn.cluster._dbscan.DBSCAN",
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"DecisionTreeClassifier": "sklearn.tree._classes.DecisionTreeClassifier",
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"DecisionTreeRegressor": "sklearn.tree._classes.DecisionTreeRegressor",
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"DictVectorizer": "sklearn.feature_extraction._dict_vectorizer.DictVectorizer",
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"DictionaryLearning": "sklearn.decomposition._dict_learning.DictionaryLearning",
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"DummyClassifier": "sklearn.dummy.DummyClassifier",
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"DummyRegressor": "sklearn.dummy.DummyRegressor",
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"ElasticNet": "sklearn.linear_model._coordinate_descent.ElasticNet",
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"ElasticNetCV": "sklearn.linear_model._coordinate_descent.ElasticNetCV",
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"EllipticEnvelope": "sklearn.covariance._elliptic_envelope.EllipticEnvelope",
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"EmpiricalCovariance": "sklearn.covariance._empirical_covariance.EmpiricalCovariance",
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"ExtraTreeClassifier": "sklearn.tree._classes.ExtraTreeClassifier",
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"ExtraTreeRegressor": "sklearn.tree._classes.ExtraTreeRegressor",
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"ExtraTreesClassifier": "sklearn.ensemble._forest.ExtraTreesClassifier",
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"ExtraTreesRegressor": "sklearn.ensemble._forest.ExtraTreesRegressor",
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"FactorAnalysis": "sklearn.decomposition._factor_analysis.FactorAnalysis",
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"FastICA": "sklearn.decomposition._fastica.FastICA",
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"FeatureAgglomeration": "sklearn.cluster._agglomerative.FeatureAgglomeration",
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"FeatureHasher": "sklearn.feature_extraction._hash.FeatureHasher",
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"FeatureUnion": "sklearn.pipeline.FeatureUnion",
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"FixedThresholdClassifier": "sklearn.model_selection._classification_threshold.FixedThresholdClassifier",
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"FrozenEstimator": "sklearn.frozen._frozen.FrozenEstimator",
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"FunctionTransformer": "sklearn.preprocessing._function_transformer.FunctionTransformer",
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"GammaRegressor": "sklearn.linear_model._glm.glm.GammaRegressor",
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"GaussianMixture": "sklearn.mixture._gaussian_mixture.GaussianMixture",
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"GaussianNB": "sklearn.naive_bayes.GaussianNB",
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"GaussianProcessClassifier": "sklearn.gaussian_process._gpc.GaussianProcessClassifier",
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"GaussianProcessRegressor": "sklearn.gaussian_process._gpr.GaussianProcessRegressor",
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"GaussianRandomProjection": "sklearn.random_projection.GaussianRandomProjection",
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"GenericUnivariateSelect": "sklearn.feature_selection._univariate_selection.GenericUnivariateSelect",
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"GradientBoostingClassifier": "sklearn.ensemble._gb.GradientBoostingClassifier",
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"GradientBoostingRegressor": "sklearn.ensemble._gb.GradientBoostingRegressor",
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"GraphicalLasso": "sklearn.covariance._graph_lasso.GraphicalLasso",
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"GraphicalLassoCV": "sklearn.covariance._graph_lasso.GraphicalLassoCV",
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"GridSearchCV": "sklearn.model_selection._search.GridSearchCV",
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"HDBSCAN": "sklearn.cluster._hdbscan.hdbscan.HDBSCAN",
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"HashingVectorizer": "sklearn.feature_extraction.text.HashingVectorizer",
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"HistGradientBoostingClassifier": "sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier",
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"HistGradientBoostingRegressor": "sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingRegressor",
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"HuberRegressor": "sklearn.linear_model._huber.HuberRegressor",
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"IncrementalPCA": "sklearn.decomposition._incremental_pca.IncrementalPCA",
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"IsolationForest": "sklearn.ensemble._iforest.IsolationForest",
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"Isomap": "sklearn.manifold._isomap.Isomap",
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"IsotonicRegression": "sklearn.isotonic.IsotonicRegression",
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"KBinsDiscretizer": "sklearn.preprocessing._discretization.KBinsDiscretizer",
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"KMeans": "sklearn.cluster._kmeans.KMeans",
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"KNNImputer": "sklearn.impute._knn.KNNImputer",
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"KNeighborsClassifier": "sklearn.neighbors._classification.KNeighborsClassifier",
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"KNeighborsRegressor": "sklearn.neighbors._regression.KNeighborsRegressor",
91+
"KNeighborsTransformer": "sklearn.neighbors._graph.KNeighborsTransformer",
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"KernelCenterer": "sklearn.preprocessing._data.KernelCenterer",
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"KernelDensity": "sklearn.neighbors._kde.KernelDensity",
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"KernelPCA": "sklearn.decomposition._kernel_pca.KernelPCA",
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"KernelRidge": "sklearn.kernel_ridge.KernelRidge",
96+
"LabelBinarizer": "sklearn.preprocessing._label.LabelBinarizer",
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"LabelEncoder": "sklearn.preprocessing._label.LabelEncoder",
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"LabelPropagation": "sklearn.semi_supervised._label_propagation.LabelPropagation",
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"LabelSpreading": "sklearn.semi_supervised._label_propagation.LabelSpreading",
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"Lars": "sklearn.linear_model._least_angle.Lars",
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"LarsCV": "sklearn.linear_model._least_angle.LarsCV",
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"Lasso": "sklearn.linear_model._coordinate_descent.Lasso",
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"LassoCV": "sklearn.linear_model._coordinate_descent.LassoCV",
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"LassoLars": "sklearn.linear_model._least_angle.LassoLars",
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"LassoLarsCV": "sklearn.linear_model._least_angle.LassoLarsCV",
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"LassoLarsIC": "sklearn.linear_model._least_angle.LassoLarsIC",
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"LatentDirichletAllocation": "sklearn.decomposition._lda.LatentDirichletAllocation",
108+
"LedoitWolf": "sklearn.covariance._shrunk_covariance.LedoitWolf",
109+
"LinearDiscriminantAnalysis": "sklearn.discriminant_analysis.LinearDiscriminantAnalysis",
110+
"LinearRegression": "sklearn.linear_model._base.LinearRegression",
111+
"LinearSVC": "sklearn.svm._classes.LinearSVC",
112+
"LinearSVR": "sklearn.svm._classes.LinearSVR",
113+
"LocalOutlierFactor": "sklearn.neighbors._lof.LocalOutlierFactor",
114+
"LocallyLinearEmbedding": "sklearn.manifold._locally_linear.LocallyLinearEmbedding",
115+
"LogisticRegression": "sklearn.linear_model._logistic.LogisticRegression",
116+
"LogisticRegressionCV": "sklearn.linear_model._logistic.LogisticRegressionCV",
117+
"MDS": "sklearn.manifold._mds.MDS",
118+
"MLPClassifier": "sklearn.neural_network._multilayer_perceptron.MLPClassifier",
119+
"MLPRegressor": "sklearn.neural_network._multilayer_perceptron.MLPRegressor",
120+
"MaxAbsScaler": "sklearn.preprocessing._data.MaxAbsScaler",
121+
"MeanShift": "sklearn.cluster._mean_shift.MeanShift",
122+
"MinCovDet": "sklearn.covariance._robust_covariance.MinCovDet",
123+
"MinMaxScaler": "sklearn.preprocessing._data.MinMaxScaler",
124+
"MiniBatchDictionaryLearning": "sklearn.decomposition._dict_learning.MiniBatchDictionaryLearning",
125+
"MiniBatchKMeans": "sklearn.cluster._kmeans.MiniBatchKMeans",
126+
"MiniBatchNMF": "sklearn.decomposition._nmf.MiniBatchNMF",
127+
"MiniBatchSparsePCA": "sklearn.decomposition._sparse_pca.MiniBatchSparsePCA",
128+
"MissingIndicator": "sklearn.impute._base.MissingIndicator",
129+
"MultiLabelBinarizer": "sklearn.preprocessing._label.MultiLabelBinarizer",
130+
"MultiOutputClassifier": "sklearn.multioutput.MultiOutputClassifier",
131+
"MultiOutputRegressor": "sklearn.multioutput.MultiOutputRegressor",
132+
"MultiTaskElasticNet": "sklearn.linear_model._coordinate_descent.MultiTaskElasticNet",
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"MultiTaskElasticNetCV": "sklearn.linear_model._coordinate_descent.MultiTaskElasticNetCV",
134+
"MultiTaskLasso": "sklearn.linear_model._coordinate_descent.MultiTaskLasso",
135+
"MultiTaskLassoCV": "sklearn.linear_model._coordinate_descent.MultiTaskLassoCV",
136+
"MultinomialNB": "sklearn.naive_bayes.MultinomialNB",
137+
"NMF": "sklearn.decomposition._nmf.NMF",
138+
"NearestCentroid": "sklearn.neighbors._nearest_centroid.NearestCentroid",
139+
"NearestNeighbors": "sklearn.neighbors._unsupervised.NearestNeighbors",
140+
"NeighborhoodComponentsAnalysis": "sklearn.neighbors._nca.NeighborhoodComponentsAnalysis",
141+
"Normalizer": "sklearn.preprocessing._data.Normalizer",
142+
"NuSVC": "sklearn.svm._classes.NuSVC",
143+
"NuSVR": "sklearn.svm._classes.NuSVR",
144+
"Nystroem": "sklearn.kernel_approximation.Nystroem",
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"OAS": "sklearn.covariance._shrunk_covariance.OAS",
146+
"OPTICS": "sklearn.cluster._optics.OPTICS",
147+
"OneClassSVM": "sklearn.svm._classes.OneClassSVM",
148+
"OneHotEncoder": "sklearn.preprocessing._encoders.OneHotEncoder",
149+
"OneVsOneClassifier": "sklearn.multiclass.OneVsOneClassifier",
150+
"OneVsRestClassifier": "sklearn.multiclass.OneVsRestClassifier",
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"OrdinalEncoder": "sklearn.preprocessing._encoders.OrdinalEncoder",
152+
"OrthogonalMatchingPursuit": "sklearn.linear_model._omp.OrthogonalMatchingPursuit",
153+
"OrthogonalMatchingPursuitCV": "sklearn.linear_model._omp.OrthogonalMatchingPursuitCV",
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"OutputCodeClassifier": "sklearn.multiclass.OutputCodeClassifier",
155+
"PCA": "sklearn.decomposition._pca.PCA",
156+
"PLSCanonical": "sklearn.cross_decomposition._pls.PLSCanonical",
157+
"PLSRegression": "sklearn.cross_decomposition._pls.PLSRegression",
158+
"PLSSVD": "sklearn.cross_decomposition._pls.PLSSVD",
159+
"PassiveAggressiveClassifier": "sklearn.linear_model._passive_aggressive.PassiveAggressiveClassifier",
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"PassiveAggressiveRegressor": "sklearn.linear_model._passive_aggressive.PassiveAggressiveRegressor",
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"PatchExtractor": "sklearn.feature_extraction.image.PatchExtractor",
162+
"Perceptron": "sklearn.linear_model._perceptron.Perceptron",
163+
"Pipeline": "sklearn.pipeline.Pipeline",
164+
"PoissonRegressor": "sklearn.linear_model._glm.glm.PoissonRegressor",
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"PolynomialCountSketch": "sklearn.kernel_approximation.PolynomialCountSketch",
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"PolynomialFeatures": "sklearn.preprocessing._polynomial.PolynomialFeatures",
167+
"PowerTransformer": "sklearn.preprocessing._data.PowerTransformer",
168+
"QuadraticDiscriminantAnalysis": "sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis",
169+
"QuantileRegressor": "sklearn.linear_model._quantile.QuantileRegressor",
170+
"QuantileTransformer": "sklearn.preprocessing._data.QuantileTransformer",
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"RANSACRegressor": "sklearn.linear_model._ransac.RANSACRegressor",
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"RBFSampler": "sklearn.kernel_approximation.RBFSampler",
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"RFE": "sklearn.feature_selection._rfe.RFE",
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"RFECV": "sklearn.feature_selection._rfe.RFECV",
175+
"RadiusNeighborsClassifier": "sklearn.neighbors._classification.RadiusNeighborsClassifier",
176+
"RadiusNeighborsRegressor": "sklearn.neighbors._regression.RadiusNeighborsRegressor",
177+
"RadiusNeighborsTransformer": "sklearn.neighbors._graph.RadiusNeighborsTransformer",
178+
"RandomForestClassifier": "sklearn.ensemble._forest.RandomForestClassifier",
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"RandomForestRegressor": "sklearn.ensemble._forest.RandomForestRegressor",
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"RandomTreesEmbedding": "sklearn.ensemble._forest.RandomTreesEmbedding",
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"RandomizedSearchCV": "sklearn.model_selection._search.RandomizedSearchCV",
182+
"RegressorChain": "sklearn.multioutput.RegressorChain",
183+
"Ridge": "sklearn.linear_model._ridge.Ridge",
184+
"RidgeCV": "sklearn.linear_model._ridge.RidgeCV",
185+
"RidgeClassifier": "sklearn.linear_model._ridge.RidgeClassifier",
186+
"RidgeClassifierCV": "sklearn.linear_model._ridge.RidgeClassifierCV",
187+
"RobustScaler": "sklearn.preprocessing._data.RobustScaler",
188+
"SGDClassifier": "sklearn.linear_model._stochastic_gradient.SGDClassifier",
189+
"SGDOneClassSVM": "sklearn.linear_model._stochastic_gradient.SGDOneClassSVM",
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"SGDRegressor": "sklearn.linear_model._stochastic_gradient.SGDRegressor",
191+
"SVC": "sklearn.svm._classes.SVC",
192+
"SVR": "sklearn.svm._classes.SVR",
193+
"SelectFdr": "sklearn.feature_selection._univariate_selection.SelectFdr",
194+
"SelectFpr": "sklearn.feature_selection._univariate_selection.SelectFpr",
195+
"SelectFromModel": "sklearn.feature_selection._from_model.SelectFromModel",
196+
"SelectFwe": "sklearn.feature_selection._univariate_selection.SelectFwe",
197+
"SelectKBest": "sklearn.feature_selection._univariate_selection.SelectKBest",
198+
"SelectPercentile": "sklearn.feature_selection._univariate_selection.SelectPercentile",
199+
"SelfTrainingClassifier": "sklearn.semi_supervised._self_training.SelfTrainingClassifier",
200+
"SequentialFeatureSelector": "sklearn.feature_selection._sequential.SequentialFeatureSelector",
201+
"ShrunkCovariance": "sklearn.covariance._shrunk_covariance.ShrunkCovariance",
202+
"SimpleImputer": "sklearn.impute._base.SimpleImputer",
203+
"SkewedChi2Sampler": "sklearn.kernel_approximation.SkewedChi2Sampler",
204+
"SparseCoder": "sklearn.decomposition._dict_learning.SparseCoder",
205+
"SparsePCA": "sklearn.decomposition._sparse_pca.SparsePCA",
206+
"SparseRandomProjection": "sklearn.random_projection.SparseRandomProjection",
207+
"SpectralBiclustering": "sklearn.cluster._bicluster.SpectralBiclustering",
208+
"SpectralClustering": "sklearn.cluster._spectral.SpectralClustering",
209+
"SpectralCoclustering": "sklearn.cluster._bicluster.SpectralCoclustering",
210+
"SpectralEmbedding": "sklearn.manifold._spectral_embedding.SpectralEmbedding",
211+
"SplineTransformer": "sklearn.preprocessing._polynomial.SplineTransformer",
212+
"StackingClassifier": "sklearn.ensemble._stacking.StackingClassifier",
213+
"StackingRegressor": "sklearn.ensemble._stacking.StackingRegressor",
214+
"StandardScaler": "sklearn.preprocessing._data.StandardScaler",
215+
"TSNE": "sklearn.manifold._t_sne.TSNE",
216+
"TargetEncoder": "sklearn.preprocessing._target_encoder.TargetEncoder",
217+
"TfidfTransformer": "sklearn.feature_extraction.text.TfidfTransformer",
218+
"TfidfVectorizer": "sklearn.feature_extraction.text.TfidfVectorizer",
219+
"TheilSenRegressor": "sklearn.linear_model._theil_sen.TheilSenRegressor",
220+
"TransformedTargetRegressor": "sklearn.compose._target.TransformedTargetRegressor",
221+
"TruncatedSVD": "sklearn.decomposition._truncated_svd.TruncatedSVD",
222+
"TunedThresholdClassifierCV": "sklearn.model_selection._classification_threshold.TunedThresholdClassifierCV",
223+
"TweedieRegressor": "sklearn.linear_model._glm.glm.TweedieRegressor",
224+
"VarianceThreshold": "sklearn.feature_selection._variance_threshold.VarianceThreshold",
225+
"VotingClassifier": "sklearn.ensemble._voting.VotingClassifier",
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"VotingRegressor": "sklearn.ensemble._voting.VotingRegressor",
227+
}

‎openml/models/classification/xgboost.py‎

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@@ -9,6 +9,7 @@ class OpenmlPkg__XGBClassifier(_ModelPkgClassifier):
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_tags = {
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"pkg_id": "XGBClassifier",
1111
"python_dependencies": "xgboost",
12+
"pkg_pypi_name": "xgboost",
1213
}
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_obj = "xgboost.XGBClassifier"

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