You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hello,
I am facing a problem with loading and passing data through a trained model when the data contains categories that were unseen by the model at training time. Specifically, I am training on certain tissues and want to use the model's prediction on other tissues. The data for these unseen tissues are stored in a separate file from the training data.
INFO Received view of anndata, making copy.
INFO Input AnnData not setup with scvi-tools. attempting to transfer AnnData setup
And ends on:
ValueError: Category XXXX not found in source registry. Cannot transfer setup without extend_categories = True.
Where XXXX is a tissue that was absent from the training file.
What would be the correct way to do this? I cannot find any way to pass the extend_categories kwarg.
What I tried
After digging into the source code I imagine this would involve something like: model.register_manager(model.adata_manager.transfer_fields(adata_target=test_adata, extend_categories=True))
But I cannot find how to make the model use this new manager.
For now, a workaround is to set the categories in the test data to a category that was present in the training data.For example, setting the tissue column in the test data to the first tissue in the registry of the model:
Hello,
I am facing a problem with loading and passing data through a trained model when the data contains categories that were unseen by the model at training time. Specifically, I am training on certain tissues and want to use the model's prediction on other tissues. The data for these unseen tissues are stored in a separate file from the training data.
The code to do this would look like:
This outputs:
And ends on:
Where XXXX is a tissue that was absent from the training file.
What would be the correct way to do this? I cannot find any way to pass the extend_categories kwarg.
What I tried
After digging into the source code I imagine this would involve something like:
model.register_manager(model.adata_manager.transfer_fields(adata_target=test_adata, extend_categories=True))
But I cannot find how to make the model use this new manager.
For now, a workaround is to set the categories in the test data to a category that was present in the training data.For example, setting the tissue column in the test data to the first tissue in the registry of the model:
However this is quite an unsatisfactory solution and there is certainly a cleaner way of doing this.
Thank you!
The text was updated successfully, but these errors were encountered: