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Update my_waterfall.py
2e19adf - 1.48 kB initial commit
LATAI_reduced_model.pickle Detected Pickle imports (17)
- "numpy.core.multiarray.scalar",
- "numpy.dtype",
- "xgboost.sklearn.XGBClassifier",
- "xgboost.core.Booster",
- "numpy.ndarray",
- "imblearn.over_sampling._smote.base.SMOTE",
- "imblearn.pipeline.Pipeline",
- "sklearn.neighbors._unsupervised.NearestNeighbors",
- "sklearn.neighbors._kd_tree.KDTree",
- "sklearn.metrics._dist_metrics.newObj",
- "xgboost.compat.XGBoostLabelEncoder",
- "builtins.bytearray",
- "sklearn.metrics._dist_metrics.EuclideanDistance",
- "imblearn.under_sampling._prototype_selection._random_under_sampler.RandomUnderSampler",
- "sklearn.neighbors._kd_tree.newObj",
- "collections.OrderedDict",
- "numpy.core.multiarray._reconstruct"
How to fix it?
373 kB Initial commit LATAI_reduced_model_CALIBRATED.pickle Detected Pickle imports (20)
- "xgboost.core.Booster",
- "sklearn.neighbors._kd_tree.KDTree",
- "sklearn.metrics._dist_metrics.newObj",
- "xgboost.sklearn.XGBClassifier",
- "sklearn.isotonic.IsotonicRegression",
- "sklearn.calibration._CalibratedClassifier",
- "numpy.core.multiarray._reconstruct",
- "numpy.core.multiarray.scalar",
- "imblearn.over_sampling._smote.base.SMOTE",
- "xgboost.compat.XGBoostLabelEncoder",
- "builtins.bytearray",
- "sklearn.calibration.CalibratedClassifierCV",
- "collections.OrderedDict",
- "numpy.dtype",
- "numpy.ndarray",
- "sklearn.neighbors._unsupervised.NearestNeighbors",
- "sklearn.metrics._dist_metrics.EuclideanDistance",
- "imblearn.under_sampling._prototype_selection._random_under_sampler.RandomUnderSampler",
- "sklearn.neighbors._kd_tree.newObj",
- "imblearn.pipeline.Pipeline"
How to fix it?
4.06 MB calibrated model - 248 Bytes initial commit
- 3.25 kB Update app.py
- 18 kB Update my_waterfall.py
- 132 Bytes Update requirements.txt