Datasets:

---

mackelab

/

STG_energy

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Machine Learning in Science 4

• "nflows.transforms.lu.LULinear",
• "torch.nn.modules.linear.Identity",
• "torch.float32",
• "torch._utils._rebuild_tensor_v2",
• "sbi.analysis.sensitivity_analysis.Destandardize",
• "torch.storage._load_from_bytes",
• "nflows.transforms.coupling.PiecewiseRationalQuadraticCouplingTransform",
• "torch.distributions.uniform.Uniform",
• "dill._dill._create_function",
• "nflows.nn.nets.resnet.ResidualBlock",
• "sbi.utils.user_input_checks_utils.PytorchReturnTypeWrapper",
• "torch.nn.modules.container.ModuleList",
• "nflows.distributions.normal.StandardNormal",
• "torch.Size",
• "torch.nn.modules.batchnorm.BatchNorm1d",
• "sbi.analysis.sensitivity_analysis.__dict__",
• "sbi.utils.torchutils.BoxUniform",
• "sbi.analysis.sensitivity_analysis.ActiveSubspace",
• "nflows.flows.base.Flow",
• "dill._dill._import_module",
• "torch.nn.modules.container.Sequential",
• "torch._C._VariableFunctionsClass.relu",
• "dill._dill._create_code",
• "collections.OrderedDict",
• "torch.nn.modules.dropout.Dropout",
• "nflows.transforms.linear.LinearCache",
• "sbi.inference.posteriors.direct_posterior.DirectPosterior",
• "nflows.transforms.standard.AffineTransform",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.linear.Linear",
• "sbi.utils.sbiutils.Standardize",
• "numpy.dtype",
• "nflows.transforms.base.CompositeTransform",
• "nflows.nn.nets.resnet.ResidualNet",
• "dill._dill._get_attr",
• "numpy.ndarray",
• "dill._dill._create_cell"

How to fix it?

• "torch._utils._rebuild_tensor_v2",
• "nflows.nn.nets.resnet.ResidualNet",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.container.ModuleList",
• "nflows.nn.nets.resnet.ResidualBlock",
• "torch.nn.modules.batchnorm.BatchNorm1d",
• "sbi.analysis.sensitivity_analysis.Destandardize",
• "torch.nn.modules.dropout.Dropout",
• "collections.OrderedDict",
• "torch._C._VariableFunctionsClass.relu",
• "torch.nn.modules.container.Sequential",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.linear.Identity",
• "torch.storage._load_from_bytes",
• "sbi.utils.sbiutils.Standardize"

How to fix it?

• "numpy.core.multiarray._reconstruct",
• "numpy.dtype",
• "sklearn.linear_model._base.LinearRegression",
• "numpy.ndarray"

How to fix it?