Datasets:

---

dwahdany

/

privacy-arena-data

like 0

• "numpy._core.multiarray.scalar",
• "numpy.dtype",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "numpy.ndarray",
• "sklearn.preprocessing._data.StandardScaler"

How to fix it?

• "tabpfn.preprocessing.datamodel.FeatureSchema",
• "numpy.float64",
• "torch.device",
• "numpy.ndarray",
• "torch.nn.modules.activation.GELU",
• "tabpfn.architectures.tabpfn_v2_6.AlongColumnAttention",
• "torch._utils._rebuild_tensor_v2",
• "tabpfn.architectures.tabpfn_v2_6.TabPFNBlock",
• "tabpfn.architectures.tabpfn_v2_6.LowerPrecisionRMSNorm",
• "torch.storage._load_from_bytes",
• "tabpfn.architectures.tabpfn_v2_6.AlongRowAttention",
• "tabpfn.classifier.TabPFNClassifier",
• "tabpfn.architectures.tabpfn_v2_6.TabPFNV2p6Config",
• "tabpfn.preprocessing.configs.PreprocessorConfig",
• "collections.OrderedDict",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.container.ModuleList",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "tabpfn.preprocessing.steps.preprocessing_helpers.OrderPreservingColumnTransformer",
• "tabpfn.architectures.tabpfn_v2_6.AddThinkingRows",
• "tabpfn.preprocessing.datamodel.FeatureModality",
• "tabpfn.inference_tuning.ClassifierEvalMetrics",
• "tabpfn.architectures.tabpfn_v2_6.TabPFNV2p6",
• "sklearn.preprocessing._function_transformer.FunctionTransformer",
• "torch.nn.modules.container.Sequential",
• "tabpfn.inference_config.InferenceConfig",
• "sklearn.preprocessing._encoders.OrdinalEncoder",
• "numpy.dtype",
• "tabpfn.preprocessing.datamodel.Feature",
• "sklearn.compose._column_transformer.make_column_selector",
• "torch.nn.modules.linear.Linear",
• "tabpfn.preprocessing.torch.torch_standard_scaler.TorchStandardScaler"

How to fix it?