adamantix

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Model_Lagi-UAS-Gaskeun

like 0

• "torch.storage._load_from_bytes",
• "numpy.ndarray",
• "tabpfn.model.encoders.MulticlassClassificationTargetEncoder",
• "torch.nn.modules.container.ModuleList",
• "tabpfn.model.encoders.SequentialEncoder",
• "tabpfn.classifier.TabPFNClassifier",
• "tabpfn.model.transformer.PerFeatureTransformer",
• "torch.nn.modules.container.ModuleDict",
• "torch._utils._rebuild_parameter",
• "torch._utils._rebuild_tensor_v2",
• "tabpfn.model.encoders.VariableNumFeaturesEncoderStep",
• "tabpfn.model.mlp.Activation",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "tabpfn.model.layer.LayerNorm",
• "_codecs.encode",
• "tabpfn.model.encoders.NanHandlingEncoderStep",
• "tabpfn.model.encoders.InputNormalizationEncoderStep",
• "tabpfn.model.transformer.LayerStack",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.activation.GELU",
• "tabpfn.config.ModelInterfaceConfig",
• "tabpfn.model.attention.full_attention.MultiHeadAttention",
• "tabpfn.model.encoders.LinearInputEncoderStep",
• "tabpfn.model.encoders.RemoveEmptyFeaturesEncoderStep",
• "tabpfn.model.layer.PerFeatureEncoderLayer",
• "numpy.dtype",
• "torch.device",
• "tabpfn.model.mlp.MLP",
• "numpy.core.multiarray._reconstruct",
• "collections.OrderedDict",
• "torch.nn.modules.container.Sequential"

How to fix it?

• "numpy.dtype",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "pytorch_tabnet.tab_model.TabNetClassifier",
• "torch.optim.lr_scheduler.ReduceLROnPlateau",
• "torch.device",
• "torch.optim.adam.Adam",
• "numpy.ndarray",
• "torch.nn.functional.cross_entropy"

How to fix it?