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flu_prediction

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Build error

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

How to fix it?

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

How to fix it?

• "sklearn.preprocessing._function_transformer.FunctionTransformer",
• "tabpfn.model.encoders.SequentialEncoder",
• "numpy.float64",
• "numpy.dtype",
• "sklearn.impute._base.SimpleImputer",
• "tabpfn.model.encoders.LinearInputEncoderStep",
• "sklearn.pipeline.FeatureUnion",
• "torch._utils._rebuild_parameter",
• "tabpfn.model.encoders.RemoveEmptyFeaturesEncoderStep",
• "builtins.slice",
• "tabpfn.model.encoders.InputNormalizationEncoderStep",
• "torch.storage._load_from_bytes",
• "torch.nn.modules.container.Sequential",
• "tabpfn.model.layer.PerFeatureEncoderLayer",
• "torch._utils._rebuild_tensor_v2",
• "tabpfn.preprocessing.PreprocessorConfig",
• "tabpfn.model.preprocessing._identity",
• "numpy.ndarray",
• "tabpfn.model.encoders.MulticlassClassificationTargetEncoder",
• "tabpfn.model.encoders.NanHandlingEncoderStep",
• "tabpfn.inference.InferenceEngineCachePreprocessing",
• "tabpfn.model.preprocessing.ShuffleFeaturesStep",
• "collections.OrderedDict",
• "tabpfn.model.transformer.PerFeatureTransformer",
• "sklearn.decomposition._truncated_svd.TruncatedSVD",
• "torch.nn.modules.container.ModuleDict",
• "sklearn.preprocessing._data.QuantileTransformer",
• "torch.nn.modules.container.ModuleList",
• "tabpfn.classifier.TabPFNClassifier",
• "tabpfn.model.preprocessing.EncodeCategoricalFeaturesStep",
• "torch.nn.modules.linear.Linear",
• "sklearn.preprocessing._encoders.OrdinalEncoder",
• "tabpfn.model.multi_head_attention.MultiHeadAttention",
• "tabpfn.model.encoders.VariableNumFeaturesEncoderStep",
• "tabpfn.model.mlp.MLP",
• "torch.nn.modules.activation.GELU",
• "tabpfn.model.mlp.Activation",
• "sklearn.preprocessing._label.LabelEncoder",
• "numpy._core.multiarray.scalar",
• "tabpfn.preprocessing.ClassifierEnsembleConfig",
• "tabpfn.model.preprocessing.SequentialFeatureTransformer",
• "sklearn.preprocessing._data.StandardScaler",
• "sklearn.compose._column_transformer.ColumnTransformer",
• "sklearn.compose._column_transformer.make_column_selector",
• "tabpfn.config.ModelInterfaceConfig",
• "torch.device",
• "sklearn.pipeline.Pipeline",
• "tabpfn.model.preprocessing.RemoveConstantFeaturesStep",
• "tabpfn.model.config.InferenceConfig",
• "numpy._core.multiarray._reconstruct",
• "tabpfn.model.preprocessing.ReshapeFeatureDistributionsStep",
• "tabpfn.model.layer.LayerNorm",
• "tabpfn.model.preprocessing.AddFingerprintFeaturesStep",
• "tabpfn.model.transformer.LayerStack",
• "tabpfn.model.preprocessing._inf_to_nan_func"

How to fix it?