Jason-RBM

/

job-scam

like 0

• "collections.defaultdict",
• "collections.OrderedDict",
• "__main__.FullBiLSTMProcessor",
• "sklearn.preprocessing._label.LabelEncoder",
• "numpy.ndarray",
• "keras.src.legacy.preprocessing.text.Tokenizer",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "builtins.int",
• "numpy.dtype"

How to fix it?

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

How to fix it?

• "sklearn.feature_extraction.text.TfidfTransformer",
• "sklearn.feature_extraction.text.TfidfVectorizer",
• "numpy.float64",
• "sklearn.pipeline.Pipeline",
• "numpy.ndarray",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "numpy.dtype"

How to fix it?

• "sklearn.pipeline.Pipeline",
• "sklearn.feature_extraction.text.TfidfVectorizer",
• "sklearn.feature_extraction.text.TfidfTransformer",
• "numpy.ndarray",
• "numpy.float64",
• "numpy.dtype",
• "joblib.numpy_pickle.NumpyArrayWrapper"

How to fix it?

• "sklearn.feature_extraction.text.TfidfTransformer",
• "sklearn.feature_extraction.text.TfidfVectorizer",
• "numpy.float64",
• "sklearn.pipeline.Pipeline",
• "numpy.ndarray",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "numpy.dtype"

How to fix it?

• "collections.defaultdict",
• "collections.OrderedDict",
• "__main__.FullBiLSTMProcessor",
• "sklearn.preprocessing._label.LabelEncoder",
• "numpy.ndarray",
• "keras.src.legacy.preprocessing.text.Tokenizer",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "builtins.int",
• "numpy.dtype"

How to fix it?