Fetching metadata from the HF Docker repository...
feat: dir structure
e964b12
-
8.57 kB
feat: dir structure
factor_analyzer.pkl
Detected Pickle imports (5)
- "numpy.core.multiarray.scalar",
- "factor_analyzer.factor_analyzer.FactorAnalyzer",
- "numpy.dtype",
- "numpy.ndarray",
- "numpy.core.multiarray._reconstruct"
How to fix it?
6.85 kB
feat: dir structure
model_cb.pkl
Detected Pickle imports (9)
- "sklearn.compose._column_transformer.ColumnTransformer",
- "builtins.slice",
- "catboost.core.CatBoostRegressor",
- "numpy.core.multiarray.scalar",
- "sklearn.pipeline.Pipeline",
- "numpy.dtype",
- "numpy.ndarray",
- "numpy.core.multiarray._reconstruct",
- "sklearn.preprocessing._data.StandardScaler"
How to fix it?
58 kB
feat: dir structure
model_cb_without_opening_week.pkl
Detected Pickle imports (9)
- "sklearn.compose._column_transformer.ColumnTransformer",
- "builtins.slice",
- "catboost.core.CatBoostRegressor",
- "numpy.core.multiarray.scalar",
- "sklearn.pipeline.Pipeline",
- "numpy.dtype",
- "numpy.ndarray",
- "numpy.core.multiarray._reconstruct",
- "sklearn.preprocessing._data.StandardScaler"
How to fix it?
58 kB
feat: dir structure
model_gb.pkl
Detected Pickle imports (19)
- "sklearn.compose._column_transformer.ColumnTransformer",
- "sklearn._loss.link.IdentityLink",
- "numpy.random._pickle.__bit_generator_ctor",
- "sklearn.ensemble._gb.GradientBoostingRegressor",
- "sklearn.preprocessing._data.StandardScaler",
- "sklearn._loss._loss.__pyx_unpickle_CyHalfSquaredError",
- "numpy.core.multiarray.scalar",
- "sklearn.pipeline.Pipeline",
- "sklearn.tree._tree.Tree",
- "builtins.slice",
- "sklearn._loss.link.Interval",
- "sklearn.dummy.DummyRegressor",
- "numpy.random._pickle.__randomstate_ctor",
- "sklearn._loss.loss.HalfSquaredError",
- "sklearn._loss._loss.CyHalfSquaredError",
- "numpy.dtype",
- "numpy.ndarray",
- "numpy.core.multiarray._reconstruct",
- "sklearn.tree._classes.DecisionTreeRegressor"
How to fix it?
196 kB
feat: dir structure
model_gb_without_opening_week.pkl
Detected Pickle imports (19)
- "sklearn.compose._column_transformer.ColumnTransformer",
- "sklearn._loss.link.IdentityLink",
- "numpy.random._pickle.__bit_generator_ctor",
- "sklearn.ensemble._gb.GradientBoostingRegressor",
- "sklearn.preprocessing._data.StandardScaler",
- "sklearn._loss._loss.__pyx_unpickle_CyHalfSquaredError",
- "numpy.core.multiarray.scalar",
- "sklearn.pipeline.Pipeline",
- "sklearn.tree._tree.Tree",
- "builtins.slice",
- "sklearn._loss.link.Interval",
- "sklearn.dummy.DummyRegressor",
- "numpy.random._pickle.__randomstate_ctor",
- "sklearn._loss.loss.HalfSquaredError",
- "sklearn._loss._loss.CyHalfSquaredError",
- "numpy.dtype",
- "numpy.ndarray",
- "numpy.core.multiarray._reconstruct",
- "sklearn.tree._classes.DecisionTreeRegressor"
How to fix it?
130 kB
feat: dir structure
model_lgbm.pkl
Detected Pickle imports (12)
- "sklearn.compose._column_transformer.ColumnTransformer",
- "builtins.slice",
- "collections.defaultdict",
- "numpy.core.multiarray.scalar",
- "sklearn.pipeline.Pipeline",
- "lightgbm.sklearn.LGBMRegressor",
- "numpy.dtype",
- "numpy.ndarray",
- "numpy.core.multiarray._reconstruct",
- "sklearn.preprocessing._data.StandardScaler",
- "collections.OrderedDict",
- "lightgbm.basic.Booster"
How to fix it?
147 kB
feat: dir structure
model_lgbm_without_opening_week.pkl
Detected Pickle imports (12)
- "sklearn.compose._column_transformer.ColumnTransformer",
- "builtins.slice",
- "collections.defaultdict",
- "numpy.core.multiarray.scalar",
- "sklearn.pipeline.Pipeline",
- "lightgbm.sklearn.LGBMRegressor",
- "numpy.dtype",
- "numpy.ndarray",
- "numpy.core.multiarray._reconstruct",
- "sklearn.preprocessing._data.StandardScaler",
- "collections.OrderedDict",
- "lightgbm.basic.Booster"
How to fix it?
146 kB
feat: dir structure
model_rf.pkl
Detected Pickle imports (11)
- "sklearn.compose._column_transformer.ColumnTransformer",
- "builtins.slice",
- "numpy.core.multiarray.scalar",
- "sklearn.ensemble._forest.RandomForestRegressor",
- "sklearn.pipeline.Pipeline",
- "numpy.dtype",
- "numpy.ndarray",
- "numpy.core.multiarray._reconstruct",
- "sklearn.preprocessing._data.StandardScaler",
- "sklearn.tree._classes.DecisionTreeRegressor",
- "sklearn.tree._tree.Tree"
How to fix it?
4.51 MB
feat: dir structure
model_rf_without_opening_week.pkl
Detected Pickle imports (11)
- "sklearn.compose._column_transformer.ColumnTransformer",
- "builtins.slice",
- "numpy.core.multiarray.scalar",
- "sklearn.ensemble._forest.RandomForestRegressor",
- "sklearn.pipeline.Pipeline",
- "numpy.dtype",
- "numpy.ndarray",
- "numpy.core.multiarray._reconstruct",
- "sklearn.preprocessing._data.StandardScaler",
- "sklearn.tree._classes.DecisionTreeRegressor",
- "sklearn.tree._tree.Tree"
How to fix it?
6.27 MB
feat: dir structure
model_xgb.pkl
Detected Pickle imports (11)
- "sklearn.compose._column_transformer.ColumnTransformer",
- "builtins.slice",
- "xgboost.sklearn.XGBRegressor",
- "builtins.bytearray",
- "numpy.core.multiarray.scalar",
- "sklearn.pipeline.Pipeline",
- "numpy.dtype",
- "numpy.ndarray",
- "numpy.core.multiarray._reconstruct",
- "sklearn.preprocessing._data.StandardScaler",
- "xgboost.core.Booster"
How to fix it?
178 kB
feat: dir structure
model_xgb_without_opening_week.pkl
Detected Pickle imports (11)
- "sklearn.compose._column_transformer.ColumnTransformer",
- "builtins.slice",
- "xgboost.sklearn.XGBRegressor",
- "builtins.bytearray",
- "numpy.core.multiarray.scalar",
- "sklearn.pipeline.Pipeline",
- "numpy.dtype",
- "numpy.ndarray",
- "numpy.core.multiarray._reconstruct",
- "sklearn.preprocessing._data.StandardScaler",
- "xgboost.core.Booster"
How to fix it?
137 kB
feat: dir structure
mpaa_label_encoder.pkl
Detected Pickle imports (4)
- "sklearn.preprocessing._label.LabelEncoder",
- "numpy.dtype",
- "numpy.ndarray",
- "numpy.core.multiarray._reconstruct"
How to fix it?
271 Bytes
feat: dir structure
scaler.pkl
Detected Pickle imports (5)
- "numpy.core.multiarray.scalar",
- "numpy.dtype",
- "numpy.ndarray",
- "numpy.core.multiarray._reconstruct",
- "sklearn.preprocessing._data.StandardScaler"
How to fix it?
1.21 kB
feat: dir structure
-
101 Bytes
feat: dir structure
-
86 Bytes
feat: dir structure
-
212 Bytes
feat: dir structure