bossjac

/

hateguard

like 0

• "__main__.HateSpeechClassifier",
• "sklearn._loss.link.LogitLink",
• "numpy.random._pickle.__randomstate_ctor",
• "sklearn.feature_extraction.text.TfidfTransformer",
• "sklearn.tree._tree.Tree",
• "numpy.dtype",
• "sklearn._loss.link.MultinomialLogit",
• "sklearn.linear_model._logistic.LogisticRegression",
• "_loss.CyHalfMultinomialLoss",
• "numpy.core.multiarray._reconstruct",
• "sklearn.ensemble._forest.RandomForestClassifier",
• "sklearn.feature_extraction.text.TfidfVectorizer",
• "__main__.TextCleaner",
• "sklearn.tree._classes.DecisionTreeRegressor",
• "sklearn._loss.link.Interval",
• "sklearn.ensemble._forest.ExtraTreesClassifier",
• "numpy.ndarray",
• "sklearn.ensemble._gb.GradientBoostingClassifier",
• "sklearn.tree._classes.ExtraTreeClassifier",
• "numpy.core.multiarray.scalar",
• "sklearn.tree._classes.DecisionTreeClassifier",
• "_loss.CyHalfBinomialLoss",
• "sklearn.svm._classes.LinearSVC",
• "sklearn.dummy.DummyClassifier",
• "_loss.__pyx_unpickle_CyHalfMultinomialLoss",
• "numpy.random._pickle.__bit_generator_ctor",
• "numpy.float64",
• "sklearn._loss.loss.HalfMultinomialLoss",
• "sklearn._loss.loss.HalfBinomialLoss"

How to fix it?

• "sklearn.linear_model._stochastic_gradient.SGDClassifier",
• "sklearn.ensemble._gb.GradientBoostingClassifier",
• "sklearn.dummy.DummyClassifier",
• "numpy.random._pickle.__bit_generator_ctor",
• "numpy.dtype",
• "sklearn.tree._classes.ExtraTreeClassifier",
• "scipy.sparse._csr.csr_matrix",
• "_loss.__pyx_unpickle_CyHalfMultinomialLoss",
• "__main__.hybrid_predict",
• "sklearn._loss.loss.HalfMultinomialLoss",
• "sklearn.ensemble._forest.ExtraTreesClassifier",
• "numpy.core.multiarray._reconstruct",
• "sklearn.preprocessing._label.LabelBinarizer",
• "sklearn.ensemble._weight_boosting.AdaBoostClassifier",
• "numpy.int64",
• "numpy.core.multiarray.scalar",
• "sklearn.linear_model._logistic.LogisticRegression",
• "sklearn.tree._tree.Tree",
• "sklearn.ensemble._forest.RandomForestClassifier",
• "sklearn.naive_bayes.MultinomialNB",
• "sklearn.feature_extraction.text.CountVectorizer",
• "_loss.CyHalfBinomialLoss",
• "__main__.HateSpeechClassifier",
• "sklearn._loss.link.LogitLink",
• "_loss.CyHalfMultinomialLoss",
• "sklearn.neural_network._stochastic_optimizers.AdamOptimizer",
• "numpy.float64",
• "sklearn.neural_network._multilayer_perceptron.MLPClassifier",
• "sklearn.neighbors._classification.KNeighborsClassifier",
• "sklearn.naive_bayes.ComplementNB",
• "numpy.random._pickle.__randomstate_ctor",
• "sklearn.tree._classes.DecisionTreeRegressor",
• "sklearn.feature_extraction.text.TfidfVectorizer",
• "sklearn.linear_model._sgd_fast.Hinge",
• "numpy.ndarray",
• "sklearn.feature_extraction.text.TfidfTransformer",
• "sklearn.tree._classes.DecisionTreeClassifier",
• "sklearn._loss.loss.HalfBinomialLoss",
• "sklearn._loss.link.MultinomialLogit",
• "__main__.TextCleaner",
• "sklearn.svm._classes.LinearSVC",
• "sklearn._loss.link.Interval"

How to fix it?