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fixed ner predictions
7968b20 - 1.34 kB initial commit
- 241 Bytes initial commit
- 6.94 kB fixed ner predictions
- 1.03 MB added yet another dictionary
- 29.4 kB adding objective and fixing punctuations
objective_model.pkl Detected Pickle imports (13)
- "sklearn.compose._column_transformer.ColumnTransformer",
- "numpy.dtype",
- "xgboost.sklearn.XGBClassifier",
- "sklearn.feature_extraction.text.CountVectorizer",
- "numpy.ndarray",
- "xgboost.core.Booster",
- "builtins.slice",
- "numpy.int64",
- "sklearn.pipeline.Pipeline",
- "builtins.bytearray",
- "sklearn.preprocessing._label.LabelEncoder",
- "builtins.set",
- "numpy.core.multiarray._reconstruct"
How to fix it?
453 kB adding objective and fixing punctuations other_categories_model.pkl Detected Pickle imports (13)
- "sklearn.compose._column_transformer.ColumnTransformer",
- "numpy.dtype",
- "xgboost.sklearn.XGBClassifier",
- "sklearn.feature_extraction.text.CountVectorizer",
- "numpy.ndarray",
- "xgboost.core.Booster",
- "builtins.slice",
- "numpy.int64",
- "sklearn.pipeline.Pipeline",
- "builtins.bytearray",
- "sklearn.preprocessing._label.LabelEncoder",
- "builtins.set",
- "numpy.core.multiarray._reconstruct"
How to fix it?
391 kB adding objective and fixing punctuations - 63 Bytes testing demo
sernac_categories_model.pkl Detected Pickle imports (13)
- "sklearn.compose._column_transformer.ColumnTransformer",
- "numpy.dtype",
- "xgboost.sklearn.XGBClassifier",
- "sklearn.feature_extraction.text.CountVectorizer",
- "numpy.ndarray",
- "xgboost.core.Booster",
- "builtins.slice",
- "numpy.int64",
- "sklearn.pipeline.Pipeline",
- "builtins.bytearray",
- "sklearn.preprocessing._label.LabelEncoder",
- "builtins.set",
- "numpy.core.multiarray._reconstruct"
How to fix it?
708 kB adding objective and fixing punctuations sernac_model.pkl Detected Pickle imports (13)
- "sklearn.compose._column_transformer.ColumnTransformer",
- "numpy.dtype",
- "xgboost.sklearn.XGBClassifier",
- "sklearn.feature_extraction.text.CountVectorizer",
- "numpy.ndarray",
- "xgboost.core.Booster",
- "builtins.slice",
- "numpy.int64",
- "sklearn.pipeline.Pipeline",
- "builtins.bytearray",
- "sklearn.preprocessing._label.LabelEncoder",
- "builtins.set",
- "numpy.core.multiarray._reconstruct"
How to fix it?
550 kB adding objective and fixing punctuations - 4.91 kB first deploy
test_model.pkl Detected Pickle imports (6)
- "numpy.core.multiarray.scalar",
- "numpy.dtype",
- "numpy.ndarray",
- "sklearn.tree._tree.Tree",
- "sklearn.tree._classes.DecisionTreeClassifier",
- "numpy.core.multiarray._reconstruct"
How to fix it?
2.76 kB first deploy
