Datasets:

---

theislab

/

LabCompass

Like 0

Follow

Theis Lab 56

• "typing.Any",
• "builtins.int",
• "pandas._libs.internals._unpickle_block",
• "omegaconf.listconfig.ListConfig",
• "torch.nn.modules.batchnorm.BatchNorm1d",
• "labcompass.data.schemas.TargetDataSchema",
• "labcompass.data.data.AnnotatedPerturbationData",
• "torch.nn.modules.linear.Identity",
• "anndata._core.anndata.AnnData",
• "builtins.dict",
• "omegaconf.base.ContainerMetadata",
• "torch._utils._rebuild_parameter",
• "torch._utils._rebuild_tensor_v2",
• "omegaconf.base.Metadata",
• "labcompass.data.schemas.StateDataSchema",
• "pandas._libs.arrays.__pyx_unpickle_NDArrayBacked",
• "labcompass.networks.inference_networks.PerturbationApproximatePosterior",
• "torch.nn.modules.activation.ReLU",
• "anndata._core.file_backing.AnnDataFileManager",
• "collections.defaultdict",
• "numpy.dtype",
• "torch.optim.adam.Adam",
• "pandas.core.frame.DataFrame",
• "numpy._core.multiarray._reconstruct",
• "numpy._core.numeric._frombuffer",
• "labcompass.data.container.DataContainer",
• "torch.nn.modules.linear.Linear",
• "torch.storage._load_from_bytes",
• "pandas.core.arrays.categorical.Categorical",
• "torch.device",
• "cloudpickle.cloudpickle._builtin_type",
• "omegaconf.nodes.AnyNode",
• "builtins.list",
• "torch.nn.modules.container.ModuleDict",
• "labcompass.models.target_prediction.TargetPredictionModel",
• "torch.nn.modules.container.Sequential",
• "builtins.slice",
• "labcompass.data.datamanager.DataManager",
• "numpy.ndarray",
• "pandas.core.indexes.base.Index",
• "torch.nn.modules.dropout.Dropout",
• "labcompass.networks.blocks.MLPBlock",
• "pandas.core.dtypes.dtypes.CategoricalDtype",
• "collections.OrderedDict",
• "omegaconf.dictconfig.DictConfig",
• "pandas.core.indexes.base._new_Index",
• "pandas.core.internals.managers.BlockManager"

How to fix it?