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@PierreBoyeau Currently this means that these other function don't use importance weighting? I assume it would make sense to add it to these models as well?
I think we can improve the naming as well (but that's styling and I would stick to n_samples_overall for number of mc_samples and n_samples to number of samples for a single input cell in a forward pass.
In
TOTALVI.get_normalized_expression
,MULTIVI.get_normalized_expression
, andContrastiveVI.get_normalized_expression
,n_samples_overall
just downsamplesindices
, while inRNASeqMixin.get_normalized_expression
, it's used for the number of MC inference samples. This might be confusing for users who expect the argument to mean and do the same thing across methods.The text was updated successfully, but these errors were encountered: