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wram1708
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ml-unified
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ml-unified
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models
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295 commits
wram1708
Upload models/titanic_fe.pkl with huggingface_hub
e488605
verified
16 days ago
80-cereals_actuals.json
Safe
380 Bytes
Upload models/80-cereals_actuals.json with huggingface_hub
17 days ago
80-cereals_fe.pkl
pickle
Detected Pickle imports (1)
"routers.core.fe_transformer.FeatureEngineeringTransformer"
How to fix it?
97 Bytes
xet
Upload models/80-cereals_fe.pkl with huggingface_hub
17 days ago
80-cereals_pipeline.pkl
pickle
Detected Pickle imports (11)
"numpy.dtype"
,
"sklearn.compose._column_transformer.ColumnTransformer"
,
"numpy.ndarray"
,
"sklearn.preprocessing._data.StandardScaler"
,
"sklearn.impute._base.SimpleImputer"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"numpy.float64"
,
"None.dtype"
,
"sklearn.pipeline.Pipeline"
,
"numpy.core.multiarray._reconstruct"
,
"sklearn.preprocessing._encoders.OneHotEncoder"
How to fix it?
134 kB
xet
Upload models/80-cereals_pipeline.pkl with huggingface_hub
17 days ago
diabetes_labels.pkl
pickle
Detected Pickle imports (6)
"numpy.dtype"
,
"numpy.ndarray"
,
"None.dtype"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"numpy.core.multiarray._reconstruct"
,
"sklearn.preprocessing._label.LabelEncoder"
How to fix it?
480 Bytes
xet
Upload models/diabetes_labels.pkl with huggingface_hub
about 2 months ago
diabetes_pipeline.pkl
pickle
Detected Pickle imports (9)
"numpy.dtype"
,
"numpy.ndarray"
,
"None.dtype"
,
"sklearn.pipeline.Pipeline"
,
"sklearn.preprocessing._data.StandardScaler"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"sklearn.impute._base.SimpleImputer"
,
"sklearn.compose._column_transformer.ColumnTransformer"
,
"numpy.core.multiarray._reconstruct"
How to fix it?
427 kB
xet
Upload models/diabetes_pipeline.pkl with huggingface_hub
about 2 months ago
insurance_pipeline.pkl
pickle
Detected Pickle imports (11)
"sklearn.preprocessing._encoders.OneHotEncoder"
,
"sklearn.pipeline.Pipeline"
,
"numpy.dtype"
,
"None.dtype"
,
"numpy.ndarray"
,
"sklearn.impute._base.SimpleImputer"
,
"numpy.float64"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"sklearn.compose._column_transformer.ColumnTransformer"
,
"numpy.core.multiarray._reconstruct"
,
"sklearn.preprocessing._data.RobustScaler"
How to fix it?
901 kB
xet
Upload models/insurance_pipeline.pkl with huggingface_hub
about 2 months ago
iris_labels.pkl
pickle
Detected Pickle imports (6)
"numpy.dtype"
,
"None.dtype"
,
"numpy.core.multiarray._reconstruct"
,
"numpy.ndarray"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"sklearn.preprocessing._label.LabelEncoder"
How to fix it?
521 Bytes
xet
Upload models/iris_labels.pkl with huggingface_hub
about 2 months ago
iris_pipeline.pkl
pickle
Detected Pickle imports (9)
"sklearn.preprocessing._data.StandardScaler"
,
"sklearn.compose._column_transformer.ColumnTransformer"
,
"numpy.dtype"
,
"sklearn.pipeline.Pipeline"
,
"numpy.core.multiarray._reconstruct"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"None.dtype"
,
"sklearn.impute._base.SimpleImputer"
,
"numpy.ndarray"
How to fix it?
3.15 kB
xet
Upload models/iris_pipeline.pkl with huggingface_hub
about 2 months ago
my-automl-model_fe.pkl
pickle
Detected Pickle imports (1)
"routers.core.fe_transformer.FeatureEngineeringTransformer"
How to fix it?
97 Bytes
xet
Upload models/my-automl-model_fe.pkl with huggingface_hub
21 days ago
my-automl-model_labels.pkl
pickle
Detected Pickle imports (6)
"None.dtype"
,
"sklearn.preprocessing._label.LabelEncoder"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"numpy.dtype"
,
"numpy.ndarray"
,
"numpy.core.multiarray._reconstruct"
How to fix it?
480 Bytes
xet
Upload models/my-automl-model_labels.pkl with huggingface_hub
21 days ago
my-automl-model_pipeline.pkl
pickle
Detected Pickle imports (9)
"numpy.dtype"
,
"sklearn.compose._column_transformer.ColumnTransformer"
,
"sklearn.impute._base.SimpleImputer"
,
"None.dtype"
,
"sklearn.pipeline.Pipeline"
,
"numpy.ndarray"
,
"sklearn.preprocessing._data.StandardScaler"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"numpy.core.multiarray._reconstruct"
How to fix it?
191 kB
xet
Upload models/my-automl-model_pipeline.pkl with huggingface_hub
21 days ago
optuna-run_actuals.json
Safe
351 Bytes
Upload models/optuna-run_actuals.json with huggingface_hub
21 days ago
optuna-run_fe.pkl
pickle
Detected Pickle imports (1)
"routers.core.fe_transformer.FeatureEngineeringTransformer"
How to fix it?
97 Bytes
xet
Upload models/optuna-run_fe.pkl with huggingface_hub
21 days ago
optuna-run_pipeline.pkl
pickle
Detected Pickle imports (11)
"numpy.float64"
,
"sklearn.preprocessing._data.StandardScaler"
,
"sklearn.compose._column_transformer.ColumnTransformer"
,
"numpy.dtype"
,
"sklearn.pipeline.Pipeline"
,
"numpy.ndarray"
,
"numpy.core.multiarray._reconstruct"
,
"None.dtype"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"sklearn.preprocessing._encoders.OneHotEncoder"
,
"sklearn.impute._base.SimpleImputer"
How to fix it?
206 kB
xet
Upload models/optuna-run_pipeline.pkl with huggingface_hub
21 days ago
titanic_actuals.json
Safe
258 Bytes
Upload models/titanic_actuals.json with huggingface_hub
about 1 month ago
titanic_fe.pkl
pickle
Detected Pickle imports (4)
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"numpy.ndarray"
,
"numpy.dtype"
,
"routers.core.fe_transformer.FeatureEngineeringTransformer"
How to fix it?
1.21 kB
xet
Upload models/titanic_fe.pkl with huggingface_hub
16 days ago
titanic_labels.pkl
pickle
Detected Pickle imports (6)
"None.dtype"
,
"sklearn.preprocessing._label.LabelEncoder"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"numpy.dtype"
,
"numpy.ndarray"
,
"numpy.core.multiarray._reconstruct"
How to fix it?
480 Bytes
xet
Upload models/titanic_labels.pkl with huggingface_hub
about 2 months ago
titanic_pipeline.pkl
pickle
Detected Pickle imports (9)
"numpy.ndarray"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"sklearn.preprocessing._data.StandardScaler"
,
"numpy.dtype"
,
"sklearn.compose._column_transformer.ColumnTransformer"
,
"sklearn.pipeline.Pipeline"
,
"numpy.core.multiarray._reconstruct"
,
"None.dtype"
,
"sklearn.impute._base.SimpleImputer"
How to fix it?
1.09 MB
xet
Upload models/titanic_pipeline.pkl with huggingface_hub
16 days ago