mypackage.MyModel.get_marginal_ll¶
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MyModel.get_marginal_ll(adata=None, indices=None, n_mc_samples=1000, batch_size=None)¶ Return the marginal LL for the data.
The computation here is a biased estimator of the marginal log likelihood of the data. Note, this is not the negative log likelihood, higher is better.
- Parameters
- adata :
AnnData|NoneOptional[AnnData] (default:None) AnnData object with equivalent structure to initial AnnData. If None, defaults to the AnnData object used to initialize the model.
- indices :
Sequence[int] |NoneOptional[Sequence[int]] (default:None) Indices of cells in adata to use. If None, all cells are used.
- n_mc_samples :
intint(default:1000) Number of Monte Carlo samples to use for marginal LL estimation.
- batch_size :
int|NoneOptional[int] (default:None) Minibatch size for data loading into model. Defaults to scvi.settings.batch_size.
- adata :
- Return type