gapura-dev

/

gapura-deep-learning

like 0

• "numpy.random._pickle.__bit_generator_ctor",
• "sklearn.ensemble._voting.VotingClassifier",
• "numpy.random._pickle.__randomstate_ctor",
• "numpy.dtype",
• "_loss.CyHalfMultinomialLoss",
• "sklearn.tree._tree.Tree",
• "numpy._core.multiarray.scalar",
• "numpy.ndarray",
• "sklearn._loss.link.Interval",
• "scipy.sparse._csr.csr_matrix",
• "sklearn.dummy.DummyClassifier",
• "sklearn.preprocessing._label.LabelEncoder",
• "sklearn.ensemble._forest.RandomForestClassifier",
• "sklearn.svm._classes.SVC",
• "sklearn.tree._classes.DecisionTreeRegressor",
• "numpy._core.multiarray._reconstruct",
• "numpy._core.numeric._frombuffer",
• "sklearn.utils._bunch.Bunch",
• "_loss.__pyx_unpickle_CyHalfMultinomialLoss",
• "sklearn._loss.link.MultinomialLogit",
• "sklearn.tree._classes.DecisionTreeClassifier",
• "sklearn.linear_model._logistic.LogisticRegression",
• "sklearn.ensemble._gb.GradientBoostingClassifier",
• "sklearn._loss.loss.HalfMultinomialLoss",
• "numpy.random._mt19937.MT19937"

How to fix it?

• "sklearn.feature_extraction.text.TfidfTransformer",
• "numpy._core.numeric._frombuffer",
• "numpy._core.multiarray.scalar",
• "numpy.dtype",
• "numpy.float64",
• "sklearn.feature_extraction.text.TfidfVectorizer"

How to fix it?