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Duplicated from  MIYASAJID19/MarketPulse-Backend

MIYASAJID19

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MarketPulse-Backend-1

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Runtime error

• "torch._utils._rebuild_tensor_v2",
• "__main__.CNN1DModel",
• "torch.nn.modules.pooling.MaxPool1d",
• "_codecs.encode",
• "torch.LongStorage",
• "collections.OrderedDict",
• "torch.nn.modules.activation.ReLU",
• "torch.nn.modules.conv.Conv1d",
• "numpy.dtype",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.batchnorm.BatchNorm1d",
• "__builtin__.set",
• "torch.nn.modules.flatten.Flatten",
• "torch.nn.modules.linear.Linear",
• "torch.FloatStorage",
• "numpy._core.multiarray.scalar",
• "torch.nn.modules.dropout.Dropout"

How to fix it?

• "joblib.numpy_pickle.NumpyArrayWrapper",
• "numpy.dtype",
• "numpy.ndarray",
• "sklearn.ensemble._weight_boosting.AdaBoostClassifier",
• "sklearn.tree._classes.DecisionTreeClassifier"

How to fix it?

• "sklearn.ensemble._forest.ExtraTreesClassifier",
• "catboost.core.CatBoostClassifier",
• "sklearn.preprocessing._data.StandardScaler",
• "torch.nn.modules.linear.Linear",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.activation.ReLU",
• "numpy.dtype",
• "torch._utils._rebuild_parameter",
• "sklearn.tree._tree.Tree",
• "numpy.ndarray",
• "numpy._core.multiarray._reconstruct",
• "sklearn.svm._classes.SVC",
• "__main__.GRUModel",
• "collections.OrderedDict",
• "torch.nn.modules.rnn.GRU",
• "torch.storage._load_from_bytes",
• "sklearn.neighbors._classification.KNeighborsClassifier",
• "sklearn.tree._classes.ExtraTreeClassifier",
• "numpy._core.multiarray.scalar",
• "torch.nn.modules.dropout.Dropout"

How to fix it?

• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.rnn.LSTM",
• "_codecs.encode",
• "torch.nn.modules.activation.ReLU",
• "collections.OrderedDict",
• "__main__.BiLSTMModel",
• "numpy.dtype",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.linear.Linear",
• "__builtin__.set",
• "torch.FloatStorage",
• "numpy._core.multiarray.scalar",
• "torch.nn.modules.dropout.Dropout"

How to fix it?

• "numpy._core.multiarray.scalar",
• "numpy.dtype",
• "catboost.core.CatBoostClassifier"

How to fix it?

• "sklearn.ensemble._forest.ExtraTreesClassifier",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "numpy.dtype",
• "numpy.ndarray",
• "sklearn.tree._classes.ExtraTreeClassifier"

How to fix it?

• "None.dtype",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "numpy.dtype",
• "sklearn.preprocessing._data.StandardScaler",
• "numpy.ndarray",
• "numpy._core.multiarray._reconstruct",
• "numpy._core.multiarray.scalar"

How to fix it?

• "torch._utils._rebuild_tensor_v2",
• "_codecs.encode",
• "torch.LongStorage",
• "collections.OrderedDict",
• "torch.nn.modules.activation.ReLU",
• "numpy.dtype",
• "__main__.FeedForwardNN",
• "torch.nn.modules.linear.Linear",
• "torch._utils._rebuild_parameter",
• "__builtin__.set",
• "torch.nn.modules.batchnorm.BatchNorm1d",
• "torch.FloatStorage",
• "torch.nn.modules.container.Sequential",
• "numpy._core.multiarray.scalar",
• "torch.nn.modules.dropout.Dropout"

How to fix it?

• "numpy.dtype",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "sklearn.ensemble._gb.GradientBoostingClassifier",
• "numpy.ndarray"

How to fix it?

• "torch._utils._rebuild_tensor_v2",
• "__main__.GRUModel",
• "_codecs.encode",
• "torch.nn.modules.activation.ReLU",
• "collections.OrderedDict",
• "torch.nn.modules.rnn.GRU",
• "numpy.dtype",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.linear.Linear",
• "__builtin__.set",
• "torch.FloatStorage",
• "numpy._core.multiarray.scalar",
• "torch.nn.modules.dropout.Dropout"

How to fix it?

• "numpy.dtype",
• "sklearn.neighbors._classification.KNeighborsClassifier",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "numpy.ndarray"

How to fix it?

• "collections.defaultdict",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "collections.OrderedDict",
• "numpy.dtype",
• "numpy.ndarray",
• "lightgbm.sklearn.LGBMClassifier",
• "lightgbm.basic.Booster",
• "numpy._core.multiarray.scalar"

How to fix it?

• "numpy.dtype",
• "numpy.ndarray",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "sklearn.linear_model._logistic.LogisticRegression"

How to fix it?

• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.rnn.LSTM",
• "_codecs.encode",
• "torch.nn.modules.activation.ReLU",
• "collections.OrderedDict",
• "numpy.dtype",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.linear.Linear",
• "__builtin__.set",
• "torch.FloatStorage",
• "__main__.LSTMModel",
• "numpy._core.multiarray.scalar",
• "torch.nn.modules.dropout.Dropout"

How to fix it?

• "joblib.numpy_pickle.NumpyArrayWrapper",
• "numpy.dtype",
• "sklearn.ensemble._forest.RandomForestClassifier",
• "numpy.ndarray",
• "sklearn.tree._classes.DecisionTreeClassifier"

How to fix it?

• "lightgbm.sklearn.LGBMClassifier",
• "sklearn._loss.loss.HalfBinomialLoss",
• "__main__.FeedForwardNN",
• "collections.OrderedDict",
• "torch.nn.modules.flatten.Flatten",
• "torch.nn.modules.activation.ReLU",
• "sklearn.tree._classes.ExtraTreeClassifier",
• "torch.storage._load_from_bytes",
• "numpy.random._mt19937.MT19937",
• "lightgbm.basic.Booster",
• "__main__.LSTMModel",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.batchnorm.BatchNorm1d",
• "sklearn.ensemble._weight_boosting.AdaBoostClassifier",
• "sklearn.tree._classes.DecisionTreeRegressor",
• "numpy._core.multiarray.scalar",
• "torch.nn.modules.dropout.Dropout",
• "collections.defaultdict",
• "builtins.slice",
• "torch.nn.modules.rnn.LSTM",
• "pandas.core.frame.DataFrame",
• "numpy.random._pickle.__randomstate_ctor",
• "sklearn.linear_model._logistic.LogisticRegression",
• "sklearn.dummy.DummyClassifier",
• "numpy._core.multiarray._reconstruct",
• "_loss.CyHalfBinomialLoss",
• "sklearn.ensemble._forest.ExtraTreesClassifier",
• "sklearn.neighbors._classification.KNeighborsClassifier",
• "torch.nn.modules.conv.Conv1d",
• "torch.nn.modules.rnn.GRU",
• "numpy.random._pickle.__bit_generator_ctor",
• "numpy.ndarray",
• "torch.nn.modules.pooling.MaxPool1d",
• "torch._utils._rebuild_tensor_v2",
• "sklearn.ensemble._gb.GradientBoostingClassifier",
• "__main__.CNN1DModel",
• "builtins.bytearray",
• "__main__.BiLSTMModel",
• "sklearn._loss.link.LogitLink",
• "numpy.dtype",
• "pandas.core.indexes.range.RangeIndex",
• "sklearn.tree._tree.Tree",
• "sklearn.preprocessing._label.LabelEncoder",
• "sklearn.svm._classes.SVC",
• "xgboost.core.Booster",
• "catboost.core.CatBoostClassifier",
• "pandas._libs.internals._unpickle_block",
• "pandas.core.indexes.base._new_Index",
• "sklearn.ensemble._forest.RandomForestClassifier",
• "pandas.core.indexes.base.Index",
• "torch.nn.modules.container.Sequential",
• "sklearn._loss.link.Interval",
• "torch.nn.modules.linear.Linear",
• "sklearn.tree._classes.DecisionTreeClassifier",
• "__main__.GRUModel",
• "pandas.core.internals.managers.BlockManager",
• "xgboost.sklearn.XGBClassifier"

How to fix it?

• "numpy.dtype",
• "sklearn.svm._classes.SVC",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "numpy.ndarray"

How to fix it?

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

How to fix it?