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climate-change-effectiveness-test

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Runtime error

• "numpy.core.multiarray._reconstruct",
• "sklearn.naive_bayes.BernoulliNB",
• "sklearn.pipeline.Pipeline",
• "scipy.sparse.csr.csr_matrix",
• "numpy.float64",
• "numpy.dtype",
• "numpy.ndarray",
• "sklearn.feature_extraction.text.TfidfTransformer",
• "sklearn.feature_extraction.text.TfidfVectorizer"

How to fix it?

• "numpy.core.multiarray._reconstruct",
• "sklearn.linear_model._stochastic_gradient.SGDClassifier",
• "sklearn.pipeline.Pipeline",
• "scipy.sparse.csr.csr_matrix",
• "numpy.float64",
• "numpy.dtype",
• "sklearn.linear_model._sgd_fast.Hinge",
• "numpy.ndarray",
• "sklearn.feature_extraction.text.TfidfTransformer",
• "sklearn.feature_extraction.text.TfidfVectorizer"

How to fix it?

• "sklearn.feature_extraction.text.TfidfTransformer",
• "scipy.sparse.csr.csr_matrix",
• "sklearn.pipeline.Pipeline",
• "numpy.int64",
• "builtins.bytearray",
• "numpy.core.multiarray._reconstruct",
• "sklearn.feature_extraction.text.CountVectorizer",
• "numpy.dtype",
• "xgboost.sklearn.XGBClassifier",
• "xgboost.compat.XGBoostLabelEncoder",
• "numpy.ndarray",
• "xgboost.core.Booster"

How to fix it?

• "numpy.float64",
• "sklearn.pipeline.Pipeline",
• "scipy.sparse.csr.csr_matrix",
• "sklearn.linear_model._logistic.LogisticRegression",
• "numpy.dtype",
• "sklearn.feature_extraction.text.TfidfTransformer",
• "numpy.ndarray",
• "sklearn.feature_extraction.text.TfidfVectorizer",
• "numpy.core.multiarray._reconstruct"

How to fix it?

• "sklearn.tree._tree.Tree",
• "sklearn.tree._classes.DecisionTreeClassifier",
• "sklearn.pipeline.Pipeline",
• "scipy.sparse.csr.csr_matrix",
• "numpy.ndarray",
• "sklearn.feature_extraction.text.CountVectorizer",
• "numpy.int64",
• "numpy.dtype",
• "numpy.core.multiarray._reconstruct",
• "sklearn.ensemble._forest.RandomForestClassifier",
• "numpy.core.multiarray.scalar",
• "sklearn.feature_extraction.text.TfidfTransformer"

How to fix it?

• "collections.OrderedDict",
• "builtins.int",
• "collections.defaultdict",
• "keras_preprocessing.text.Tokenizer"

How to fix it?