Upload hf-space models
d6be9b8 verified - 565 Bytes Upload regression/anomaly_stats.pkl
- 876 Bytes Upload regression/feature_names.json
- 1.11 kB Upload regression/label_encoders.json
- 661 Bytes feat: add LightGBM regression v2 + target encodings
- 453 kB Upload hf-space models
- 14.4 MB Upload regression/resolution_predictor.ubj
resolution_predictor_20260225_164111.pkl Detected Pickle imports (8)
- "numpy.dtype",
- "xgboost.core.Booster",
- "xgboost.sklearn.XGBRegressor",
- "sklearn.preprocessing._label.LabelEncoder",
- "sklearn.preprocessing._data.StandardScaler",
- "collections.OrderedDict",
- "numpy._core.numeric._frombuffer",
- "numpy._core.multiarray.scalar"
How to fix it?
14.8 MB Upload hf-space models - 1.43 kB Upload hf-space models
resolution_predictor_20260225_175122.pkl Detected Pickle imports (8)
- "numpy.dtype",
- "xgboost.core.Booster",
- "xgboost.sklearn.XGBRegressor",
- "sklearn.preprocessing._label.LabelEncoder",
- "sklearn.preprocessing._data.StandardScaler",
- "collections.OrderedDict",
- "numpy._core.numeric._frombuffer",
- "numpy._core.multiarray.scalar"
How to fix it?
14.4 MB Upload hf-space models - 1.43 kB Upload hf-space models
resolution_predictor_20260225_183528.pkl Detected Pickle imports (8)
- "numpy.dtype",
- "xgboost.core.Booster",
- "xgboost.sklearn.XGBRegressor",
- "sklearn.preprocessing._label.LabelEncoder",
- "sklearn.preprocessing._data.StandardScaler",
- "collections.OrderedDict",
- "numpy._core.numeric._frombuffer",
- "numpy._core.multiarray.scalar"
How to fix it?
14.4 MB Upload hf-space models - 1.42 kB Upload hf-space models
- 646 kB feat: add LightGBM regression v2 + target encodings
- 1.42 kB Upload hf-space models
- 2.88 kB Upload regression/scaler.json
shap_explainer.pkl Detected Pickle imports (11)
- "numba.core.serialize.custom_rebuild",
- "numpy._core.numeric._frombuffer",
- "shap.explainers._tree.TreeExplainer",
- "shap.explainers._tree.TreeEnsemble",
- "numpy._core.multiarray.scalar",
- "numpy.dtype",
- "shap.explainers._tree.SingleTree",
- "numpy.float64",
- "xgboost.core.Booster",
- "numba.core.serialize._unpickle__CustomPickled",
- "shap.maskers._tabular.Independent"
How to fix it?
6.39 MB Upload hf-space models - 3.6 kB feat: add LightGBM regression v2 + target encodings
