Rthur2003

/

auris-models

like 0

• "numpy._core.numeric._frombuffer",
• "numpy.dtype",
• "numpy._core.multiarray.scalar",
• "lightgbm.sklearn.LGBMClassifier",
• "lightgbm.basic.Booster",
• "sklearn.preprocessing._label.LabelEncoder",
• "collections.defaultdict",
• "collections.OrderedDict"

How to fix it?

• "numpy._core.numeric._frombuffer",
• "sklearn.preprocessing._data.StandardScaler",
• "numpy.dtype",
• "numpy._core.multiarray.scalar"

How to fix it?

• "torch._utils._rebuild_tensor_v2",
• "sklearn.preprocessing._data.StandardScaler",
• "torch.storage._load_from_bytes",
• "__main__.TorchSklearnWrapper",
• "numpy._core.numeric._frombuffer",
• "numpy.dtype",
• "collections.OrderedDict",
• "numpy._core.multiarray.scalar"

How to fix it?

• "collections.OrderedDict",
• "numpy.dtype",
• "torch.storage._load_from_bytes",
• "numpy._core.numeric._frombuffer",
• "__main__.TorchSklearnWrapper",
• "sklearn.preprocessing._data.StandardScaler",
• "numpy._core.multiarray.scalar",
• "torch._utils._rebuild_tensor_v2"

How to fix it?

• "torch.storage._load_from_bytes",
• "numpy._core.multiarray.scalar",
• "numpy._core.numeric._frombuffer",
• "numpy.dtype",
• "sklearn.preprocessing._data.StandardScaler",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict",
• "__main__.TorchSklearnWrapper"

How to fix it?

• "numpy.dtype",
• "sklearn.preprocessing._data.StandardScaler",
• "numpy._core.numeric._frombuffer",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict",
• "torch.storage._load_from_bytes",
• "numpy._core.multiarray.scalar",
• "__main__.TorchSklearnWrapper"

How to fix it?

• "numpy._core.multiarray.scalar",
• "sklearn.dummy.DummyClassifier",
• "numpy.ndarray",
• "numpy.random._pickle.__bit_generator_ctor",
• "numpy.dtype",
• "sklearn.ensemble._gb.GradientBoostingClassifier",
• "numpy.random._mt19937.MT19937",
• "sklearn.tree._tree.Tree",
• "numpy._core.multiarray._reconstruct",
• "sklearn._loss.loss.HalfBinomialLoss",
• "numpy._core.numeric._frombuffer",
• "sklearn._loss.link.LogitLink",
• "numpy.random._pickle.__randomstate_ctor",
• "sklearn._loss.link.Interval",
• "sklearn.tree._classes.DecisionTreeRegressor",
• "_loss.CyHalfBinomialLoss"

How to fix it?

• "numpy._core.numeric._frombuffer",
• "numpy.dtype",
• "numpy._core.multiarray.scalar",
• "lightgbm.sklearn.LGBMClassifier",
• "lightgbm.basic.Booster",
• "sklearn.preprocessing._label.LabelEncoder",
• "collections.defaultdict",
• "collections.OrderedDict"

How to fix it?

• "numpy.dtype",
• "sklearn.linear_model._logistic.LogisticRegression",
• "numpy._core.numeric._frombuffer"

How to fix it?

• "numpy._core.multiarray.scalar",
• "numpy.dtype",
• "sklearn.preprocessing._label.LabelBinarizer",
• "numpy.random._pickle.__randomstate_ctor",
• "numpy._core.numeric._frombuffer",
• "sklearn.neural_network._stochastic_optimizers.AdamOptimizer",
• "sklearn.neural_network._multilayer_perceptron.MLPClassifier",
• "numpy.random._pickle.__bit_generator_ctor",
• "numpy.random._mt19937.MT19937"

How to fix it?

• "sklearn.tree._classes.DecisionTreeClassifier",
• "sklearn.tree._tree.Tree",
• "numpy._core.numeric._frombuffer",
• "numpy._core.multiarray.scalar",
• "numpy.dtype",
• "sklearn.ensemble._forest.RandomForestClassifier"

How to fix it?

• "numpy.dtype",
• "sklearn.svm._classes.SVC",
• "numpy._core.numeric._frombuffer"

How to fix it?

• "xgboost.core.Booster",
• "xgboost.sklearn.XGBClassifier"

How to fix it?