Mixed usage of `n_samples_overall` in `get_normalized_expression`
In TOTALVI.get_normalized_expression, MULTIVI.get_normalized_expression, and ContrastiveVI.get_normalized_expression, n_samples_overall just downsamples indices, while in RNASeqMixin.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.
@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.