anderdnavarro

/

OncoGAN

like 3

• "torch.nn.modules.normalization.LayerNorm",
• "numpy.core.multiarray._reconstruct",
• "numpy.ndarray",
• "collections.OrderedDict",
• "sklearn.mixture._bayesian_mixture.BayesianGaussianMixture",
• "torch.nn.modules.conv.ConvTranspose2d",
• "pandas.core.frame.DataFrame",
• "__builtin__.slice",
• "pandas.core.indexes.base.Index",
• "torch.FloatStorage",
• "numpy.core.multiarray.scalar",
• "model.synthesizer.transformer.ImageTransformer",
• "model.ctabgan.CTABGAN",
• "model.synthesizer.ctabgan_synthesizer.Cond",
• "pandas._libs.internals._unpickle_block",
• "model.synthesizer.ctabgan_synthesizer.CTABGANSynthesizer",
• "pandas.core.indexes.range.RangeIndex",
• "model.pipeline.data_preparation.DataPrep",
• "torch.device",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.activation.ReLU",
• "pandas.core.indexes.base._new_Index",
• "_codecs.encode",
• "torch._utils._rebuild_tensor_v2",
• "model.synthesizer.transformer.DataTransformer",
• "numpy.dtype",
• "pandas.core.internals.managers.BlockManager",
• "__builtin__.set",
• "sklearn.preprocessing._label.LabelEncoder",
• "model.synthesizer.ctabgan_synthesizer.Generator",
• "torch._utils._rebuild_parameter"

How to fix it?

• "torch._utils._rebuild_parameter",
• "__builtin__.set",
• "torch.FloatStorage",
• "pandas.core.internals.managers.BlockManager",
• "numpy.dtype",
• "__builtin__.slice",
• "sklearn.mixture._bayesian_mixture.BayesianGaussianMixture",
• "pandas.core.indexes.range.RangeIndex",
• "collections.OrderedDict",
• "numpy.core.multiarray.scalar",
• "model.synthesizer.ctabgan_synthesizer.Generator",
• "pandas.core.indexes.base._new_Index",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.normalization.LayerNorm",
• "numpy.ndarray",
• "numpy.core.multiarray._reconstruct",
• "model.synthesizer.ctabgan_synthesizer.Cond",
• "torch.nn.modules.conv.ConvTranspose2d",
• "pandas.core.frame.DataFrame",
• "torch.device",
• "pandas.core.indexes.base.Index",
• "sklearn.preprocessing._label.LabelEncoder",
• "torch.nn.modules.container.Sequential",
• "model.pipeline.data_preparation.DataPrep",
• "_codecs.encode",
• "model.synthesizer.transformer.ImageTransformer",
• "model.synthesizer.ctabgan_synthesizer.CTABGANSynthesizer",
• "model.ctabgan.CTABGAN",
• "pandas._libs.internals._unpickle_block",
• "torch.nn.modules.activation.ReLU",
• "model.synthesizer.transformer.DataTransformer"

How to fix it?

• "torch._utils._rebuild_parameter",
• "__builtin__.set",
• "torch.FloatStorage",
• "pandas.core.internals.managers.BlockManager",
• "numpy.dtype",
• "__builtin__.slice",
• "sklearn.mixture._bayesian_mixture.BayesianGaussianMixture",
• "pandas.core.indexes.range.RangeIndex",
• "collections.OrderedDict",
• "numpy.core.multiarray.scalar",
• "model.synthesizer.ctabgan_synthesizer.Generator",
• "pandas.core.indexes.base._new_Index",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.normalization.LayerNorm",
• "numpy.ndarray",
• "numpy.core.multiarray._reconstruct",
• "model.synthesizer.ctabgan_synthesizer.Cond",
• "pandas.core.indexes.numeric.Int64Index",
• "torch.nn.modules.conv.ConvTranspose2d",
• "pandas.core.frame.DataFrame",
• "torch.device",
• "pandas.core.indexes.base.Index",
• "sklearn.preprocessing._label.LabelEncoder",
• "torch.nn.modules.container.Sequential",
• "model.pipeline.data_preparation.DataPrep",
• "_codecs.encode",
• "model.synthesizer.transformer.ImageTransformer",
• "model.synthesizer.ctabgan_synthesizer.CTABGANSynthesizer",
• "model.ctabgan.CTABGAN",
• "pandas._libs.internals._unpickle_block",
• "torch.nn.modules.activation.ReLU",
• "model.synthesizer.transformer.DataTransformer"

How to fix it?