sukhrobyangibaev

/

dota_predictor

like 0

• "numpy.core.multiarray.scalar",
• "sklearn.ensemble._weight_boosting.AdaBoostClassifier",
• "numpy.core.multiarray._reconstruct",
• "numpy.ndarray",
• "sklearn.tree._classes.DecisionTreeClassifier",
• "sklearn.tree._tree.Tree",
• "numpy.dtype"

How to fix it?

• "numpy.ndarray",
• "sklearn.tree._tree.Tree",
• "sklearn.tree._classes.ExtraTreeClassifier",
• "numpy.core.multiarray._reconstruct",
• "sklearn.ensemble._forest.ExtraTreesClassifier",
• "numpy.dtype",
• "numpy.core.multiarray.scalar"

How to fix it?

• "sklearn._loss._loss.CyHalfBinomialLoss",
• "sklearn._loss.loss.HalfBinomialLoss",
• "numpy.random._pickle.__bit_generator_ctor",
• "sklearn._loss.link.LogitLink",
• "sklearn.ensemble._gb.GradientBoostingClassifier",
• "numpy.core.multiarray._reconstruct",
• "sklearn.tree._classes.DecisionTreeRegressor",
• "numpy.ndarray",
• "numpy.random._pickle.__randomstate_ctor",
• "numpy.dtype",
• "sklearn.dummy.DummyClassifier",
• "sklearn.tree._tree.Tree",
• "sklearn._loss._loss.__pyx_unpickle_CyHalfBinomialLoss",
• "sklearn._loss.link.Interval"

How to fix it?

• "numpy.core.multiarray.scalar",
• "sklearn._loss._loss.CyHalfBinomialLoss",
• "sklearn._loss.loss.HalfBinomialLoss",
• "sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier",
• "numpy.random._pickle.__bit_generator_ctor",
• "sklearn._loss.link.LogitLink",
• "sklearn.ensemble._hist_gradient_boosting.predictor.TreePredictor",
• "sklearn.ensemble._hist_gradient_boosting.binning._BinMapper",
• "numpy.core.multiarray._reconstruct",
• "numpy.ndarray",
• "numpy.dtype",
• "sklearn._loss._loss.__pyx_unpickle_CyHalfBinomialLoss",
• "sklearn._loss.link.Interval",
• "numpy.random._pickle.__generator_ctor"

How to fix it?

• "numpy.ndarray",
• "sklearn.tree._tree.Tree",
• "numpy.core.multiarray._reconstruct",
• "sklearn.ensemble._forest.RandomForestClassifier",
• "sklearn.tree._classes.DecisionTreeClassifier",
• "numpy.dtype",
• "numpy.core.multiarray.scalar"

How to fix it?