philmorekoung

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liver-steatosis

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• "torch._utils._rebuild_tensor_v2",
• "numpy.dtype",
• "sklearn.pipeline.FeatureUnion",
• "tabpfn.architectures.base.encoders.VariableNumFeaturesEncoderStep",
• "numpy.float64",
• "tabpfn.architectures.base.config.ModelConfig",
• "sklearn.compose._column_transformer.ColumnTransformer",
• "torch.nn.modules.container.ModuleList",
• "torch.storage._load_from_bytes",
• "builtins.slice",
• "tabpfn.preprocessors.reshape_feature_distribution_step._identity",
• "torch.nn.modules.container.ModuleDict",
• "sklearn.preprocessing._data.StandardScaler",
• "tabpfn.preprocessors.reshape_feature_distribution_step._inf_to_nan_func",
• "tabpfn.architectures.base.layer.PerFeatureEncoderLayer",
• "tabpfn.preprocessors.shuffle_features_step.ShuffleFeaturesStep",
• "tabpfn.architectures.base.encoders.SequentialEncoder",
• "lightgbm.sklearn.LGBMClassifier",
• "tabpfn.architectures.base.encoders.LinearInputEncoderStep",
• "tabpfn.architectures.base.encoders.InputNormalizationEncoderStep",
• "tabpfn.architectures.base.layer.LayerNorm",
• "sklearn.preprocessing._label.LabelEncoder",
• "tabpfn.architectures.base.mlp.Activation",
• "tabpfn.preprocessors.add_fingerprint_features_step.AddFingerprintFeaturesStep",
• "builtins.bytearray",
• "tabpfn.architectures.base.encoders.RemoveEmptyFeaturesEncoderStep",
• "lightgbm.basic.Booster",
• "sklearn.impute._base.SimpleImputer",
• "sklearn.pipeline.Pipeline",
• "torch.nn.modules.container.Sequential",
• "sklearn.linear_model._logistic.LogisticRegression",
• "torch.nn.modules.linear.Linear",
• "numpy._core.multiarray._reconstruct",
• "tabpfn.architectures.base.attention.full_attention.MultiHeadAttention",
• "collections.defaultdict",
• "numpy._core.multiarray.scalar",
• "xgboost.sklearn.XGBClassifier",
• "tabpfn.preprocessing.ClassifierEnsembleConfig",
• "tabpfn.preprocessors.remove_constant_features_step.RemoveConstantFeaturesStep",
• "tabpfn.classifier.TabPFNClassifier",
• "xgboost.core.Booster",
• "tabpfn.preprocessing.PreprocessorConfig",
• "torch.device",
• "tabpfn.preprocessors.reshape_feature_distribution_step.ReshapeFeatureDistributionsStep",
• "tabpfn.architectures.base.transformer.LayerStack",
• "sklearn.compose._column_transformer.make_column_selector",
• "tabpfn.config.ModelInterfaceConfig",
• "tabpfn.preprocessors.encode_categorical_features_step.EncodeCategoricalFeaturesStep",
• "sklearn.preprocessing._encoders.OrdinalEncoder",
• "collections.OrderedDict",
• "sklearn.preprocessing._function_transformer.FunctionTransformer",
• "tabpfn.architectures.base.mlp.MLP",
• "tabpfn.preprocessors.adaptive_quantile_transformer.AdaptiveQuantileTransformer",
• "tabpfn.architectures.base.transformer.PerFeatureTransformer",
• "torch._utils._rebuild_parameter",
• "tabpfn.preprocessors.preprocessing_helpers.SequentialFeatureTransformer",
• "tabpfn.architectures.base.encoders.NanHandlingEncoderStep",
• "torch.nn.modules.activation.GELU",
• "numpy.ndarray",
• "tabpfn.inference.InferenceEngineCachePreprocessing",
• "sklearn.decomposition._truncated_svd.TruncatedSVD",
• "tabpfn.architectures.base.encoders.MulticlassClassificationTargetEncoder"

How to fix it?

• "torch.nn.modules.linear.Linear",
• "sklearn.compose._column_transformer.make_column_selector",
• "tabpfn.architectures.base.mlp.MLP",
• "tabpfn.architectures.base.layer.LayerNorm",
• "lightgbm.sklearn.LGBMClassifier",
• "collections.OrderedDict",
• "sklearn.pipeline.FeatureUnion",
• "xgboost.sklearn.XGBClassifier",
• "torch.storage._load_from_bytes",
• "sklearn.preprocessing._data.StandardScaler",
• "numpy.float64",
• "numpy.dtype",
• "torch._utils._rebuild_parameter",
• "tabpfn.preprocessors.add_fingerprint_features_step.AddFingerprintFeaturesStep",
• "tabpfn.architectures.base.encoders.VariableNumFeaturesEncoderStep",
• "lightgbm.basic.Booster",
• "torch.device",
• "tabpfn.preprocessors.preprocessing_helpers.SequentialFeatureTransformer",
• "tabpfn.architectures.base.encoders.MulticlassClassificationTargetEncoder",
• "builtins.bytearray",
• "sklearn.impute._base.SimpleImputer",
• "tabpfn.preprocessors.encode_categorical_features_step.EncodeCategoricalFeaturesStep",
• "tabpfn.architectures.base.encoders.RemoveEmptyFeaturesEncoderStep",
• "tabpfn.architectures.base.layer.PerFeatureEncoderLayer",
• "tabpfn.architectures.base.attention.full_attention.MultiHeadAttention",
• "sklearn.compose._column_transformer.ColumnTransformer",
• "numpy._core.multiarray.scalar",
• "builtins.slice",
• "sklearn.pipeline.Pipeline",
• "torch.nn.modules.activation.GELU",
• "torch.nn.modules.container.ModuleDict",
• "tabpfn.architectures.base.encoders.LinearInputEncoderStep",
• "torch._utils._rebuild_tensor_v2",
• "collections.defaultdict",
• "torch.nn.modules.container.Sequential",
• "tabpfn.preprocessors.reshape_feature_distribution_step.ReshapeFeatureDistributionsStep",
• "tabpfn.preprocessors.shuffle_features_step.ShuffleFeaturesStep",
• "tabpfn.architectures.base.encoders.SequentialEncoder",
• "numpy.ndarray",
• "tabpfn.preprocessors.reshape_feature_distribution_step._identity",
• "tabpfn.architectures.base.transformer.LayerStack",
• "sklearn.decomposition._truncated_svd.TruncatedSVD",
• "tabpfn.architectures.base.encoders.InputNormalizationEncoderStep",
• "tabpfn.preprocessing.ClassifierEnsembleConfig",
• "sklearn.preprocessing._function_transformer.FunctionTransformer",
• "sklearn.linear_model._logistic.LogisticRegression",
• "tabpfn.architectures.base.encoders.NanHandlingEncoderStep",
• "xgboost.core.Booster",
• "torch.nn.modules.container.ModuleList",
• "tabpfn.preprocessing.PreprocessorConfig",
• "tabpfn.architectures.base.mlp.Activation",
• "tabpfn.preprocessors.remove_constant_features_step.RemoveConstantFeaturesStep",
• "tabpfn.inference.InferenceEngineCachePreprocessing",
• "tabpfn.preprocessors.reshape_feature_distribution_step._inf_to_nan_func",
• "sklearn.preprocessing._label.LabelEncoder",
• "tabpfn.architectures.base.transformer.PerFeatureTransformer",
• "tabpfn.classifier.TabPFNClassifier",
• "tabpfn.config.ModelInterfaceConfig",
• "numpy._core.multiarray._reconstruct",
• "tabpfn.preprocessors.adaptive_quantile_transformer.AdaptiveQuantileTransformer",
• "tabpfn.architectures.base.config.ModelConfig",
• "sklearn.preprocessing._encoders.OrdinalEncoder"

How to fix it?