Spaces:

---

PocketSkye

/

FakeNewsClassifier

like 1

Sleeping

• "collections.OrderedDict",
• "collections.defaultdict",
• "builtins.int",
• "keras.src.legacy.preprocessing.text.Tokenizer"

How to fix it?

• "numpy.dtype",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "collections.defaultdict",
• "numpy.ndarray",
• "lightgbm.sklearn.LGBMClassifier",
• "numpy.core.multiarray.scalar",
• "lightgbm.basic.Booster",
• "collections.OrderedDict"

How to fix it?

• "numpy.ndarray",
• "numpy.dtype",
• "sklearn.linear_model._logistic.LogisticRegression",
• "joblib.numpy_pickle.NumpyArrayWrapper"

How to fix it?

• "numpy.dtype",
• "sklearn.naive_bayes.MultinomialNB",
• "numpy.ndarray",
• "joblib.numpy_pickle.NumpyArrayWrapper"

How to fix it?

• "numpy.ndarray",
• "sklearn.ensemble._forest.RandomForestClassifier",
• "sklearn.tree._classes.DecisionTreeClassifier",
• "numpy.dtype",
• "joblib.numpy_pickle.NumpyArrayWrapper"

How to fix it?

• "numpy.dtype",
• "sklearn.feature_extraction.text.TfidfTransformer",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "scipy.sparse._csr.csr_matrix",
• "sklearn.feature_extraction.text.TfidfVectorizer",
• "numpy.float64",
• "numpy.ndarray"

How to fix it?

• "xgboost.sklearn.XGBClassifier",
• "xgboost.core.Booster",
• "builtins.bytearray"

How to fix it?