Fetching metadata from the HF Docker repository... Amol Kaushik
regression ensemble
5452760 aimoscores_ensemble_A5.pkl Detected Pickle imports (22)
- "sklearn._loss.link.IdentityLink",
- "CorrelationFilter.CorrelationFilter",
- "sklearn.preprocessing._data.StandardScaler",
- "numpy.dtype",
- "_loss.CyHalfSquaredError",
- "sklearn.ensemble._forest.RandomForestRegressor",
- "numpy._core.multiarray._reconstruct",
- "numpy._core.numeric._frombuffer",
- "numpy.random._pickle.__randomstate_ctor",
- "numpy.random._pickle.__bit_generator_ctor",
- "sklearn.dummy.DummyRegressor",
- "sklearn.linear_model._coordinate_descent.LassoCV",
- "sklearn.tree._classes.DecisionTreeRegressor",
- "sklearn.pipeline.Pipeline",
- "numpy.random._mt19937.MT19937",
- "sklearn._loss.loss.HalfSquaredError",
- "numpy._core.multiarray.scalar",
- "sklearn.ensemble._gb.GradientBoostingRegressor",
- "sklearn.tree._tree.Tree",
- "numpy.ndarray",
- "sklearn._loss.link.Interval",
- "sklearn.linear_model._ridge.RidgeCV"
How to fix it?
10.2 MB regression ensemble aimoscores_improved_A4.pkl Detected Pickle imports (8)
- "numpy.ndarray",
- "sklearn.tree._tree.Tree",
- "sklearn.ensemble._forest.RandomForestRegressor",
- "__main__.CorrelationFilter",
- "numpy._core.multiarray._reconstruct",
- "sklearn.tree._classes.DecisionTreeRegressor",
- "numpy.dtype",
- "sklearn.pipeline.Pipeline"
How to fix it?
9.63 MB repush models to A5 folder ensemble_classification_champion.pkl Detected Pickle imports (21)
- "collections.OrderedDict",
- "sklearn.tree._tree.Tree",
- "builtins.bytearray",
- "sklearn.utils._bunch.Bunch",
- "xgboost.core.Booster",
- "xgboost.sklearn.XGBClassifier",
- "sklearn.tree._classes.DecisionTreeClassifier",
- "lightgbm.sklearn.LGBMClassifier",
- "numpy._core.multiarray.scalar",
- "sklearn.preprocessing._data.StandardScaler",
- "sklearn.ensemble._voting.VotingClassifier",
- "numpy._core.multiarray._reconstruct",
- "collections.defaultdict",
- "sklearn.ensemble._forest.RandomForestClassifier",
- "sklearn.discriminant_analysis.LinearDiscriminantAnalysis",
- "numpy.dtype",
- "sklearn.linear_model._logistic.LogisticRegression",
- "lightgbm.basic.Booster",
- "sklearn.preprocessing._label.LabelEncoder",
- "sklearn.neighbors._classification.KNeighborsClassifier",
- "numpy.ndarray"
How to fix it?
26.7 MB Heteroeneous Classification ensemble weaklink_classifier_rfc_A4.pkl Detected Pickle imports (8)
- "sklearn.preprocessing._data.StandardScaler",
- "sklearn.tree._tree.Tree",
- "numpy._core.multiarray._reconstruct",
- "sklearn.tree._classes.DecisionTreeClassifier",
- "sklearn.ensemble._forest.RandomForestClassifier",
- "numpy.ndarray",
- "numpy.dtype",
- "numpy._core.multiarray.scalar"
How to fix it?
16.4 MB repush models to A5 folder