deedrop1140

/

nero-ml

like 0

• "numpy.ndarray",
• "sklearn.neighbors._classification.KNeighborsClassifier",
• "numpy.dtype",
• "joblib.numpy_pickle.NumpyArrayWrapper"

How to fix it?

• "sklearn.preprocessing._label.LabelEncoder",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "numpy._core.multiarray._reconstruct",
• "numpy.dtype",
• "None.dtype",
• "numpy.ndarray"

How to fix it?

• "sklearn.preprocessing._label.LabelEncoder",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "numpy._core.multiarray._reconstruct",
• "numpy.dtype",
• "None.dtype",
• "numpy.ndarray"

How to fix it?

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

How to fix it?

• "sklearn.linear_model._base.LinearRegression",
• "numpy.ndarray",
• "numpy.dtype",
• "joblib.numpy_pickle.NumpyArrayWrapper"

How to fix it?

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

How to fix it?

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

How to fix it?

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

How to fix it?

• "numpy.int64",
• "sklearn.feature_extraction.text.CountVectorizer"

How to fix it?

• "sklearn.linear_model._base.LinearRegression",
• "numpy.ndarray",
• "numpy.dtype",
• "joblib.numpy_pickle.NumpyArrayWrapper"

How to fix it?

• "sklearn.preprocessing._polynomial.PolynomialFeatures"

How to fix it?

• "sklearn.tree._tree.Tree",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "sklearn.ensemble._forest.RandomForestRegressor",
• "numpy._core.multiarray._reconstruct",
• "numpy.dtype",
• "None.dtype",
• "sklearn.tree._classes.DecisionTreeRegressor",
• "numpy.ndarray"

How to fix it?

• "joblib.numpy_pickle.NumpyArrayWrapper",
• "numpy.ndarray",
• "sklearn.linear_model._ridge.Ridge",
• "numpy.dtype"

How to fix it?

• "joblib.numpy_pickle.NumpyArrayWrapper",
• "sklearn.preprocessing._data.StandardScaler",
• "numpy._core.multiarray._reconstruct",
• "numpy.dtype",
• "None.dtype",
• "numpy._core.multiarray.scalar",
• "numpy.ndarray"

How to fix it?

• "numpy.dtype",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "numpy.ndarray",
• "sklearn.linear_model._base.LinearRegression"

How to fix it?

• "numpy._core.multiarray._reconstruct",
• "sklearn.svm._classes.SVR",
• "numpy.dtype",
• "numpy.ndarray"

How to fix it?

• "numpy._core.multiarray._reconstruct",
• "sklearn.preprocessing._data.StandardScaler",
• "numpy.ndarray",
• "numpy.dtype",
• "numpy._core.multiarray.scalar"

How to fix it?

• "numpy._core.multiarray._reconstruct",
• "sklearn.preprocessing._data.StandardScaler",
• "numpy.ndarray",
• "numpy.dtype",
• "numpy._core.multiarray.scalar"

How to fix it?

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

How to fix it?

• "sklearn.feature_extraction.text.CountVectorizer",
• "numpy.dtype",
• "numpy._core.multiarray.scalar",
• "numpy.int64"

How to fix it?

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

How to fix it?

• "joblib.numpy_pickle.NumpyArrayWrapper",
• "sklearn.preprocessing._label.LabelEncoder",
• "numpy.dtype",
• "sklearn.tree._classes.DecisionTreeClassifier",
• "numpy.ndarray",
• "sklearn.svm._classes.LinearSVC",
• "sklearn.naive_bayes.MultinomialNB",
• "sklearn.ensemble._voting.VotingClassifier",
• "sklearn.calibration.CalibratedClassifierCV"

How to fix it?