scvelo.tl.VELOVI.get_marginal_ll¶
-
VELOVI.get_marginal_ll(adata=None, indices=None, n_mc_samples=1000, batch_size=None, return_mean=True, **kwargs)¶ 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,None AnnData object with equivalent structure to initial AnnData. If None, defaults to the AnnData object used to initialize the model.
- indices :
Sequence[int],None Indices of cells in adata to use. If None, all cells are used.
- n_mc_samples :
int Number of Monte Carlo samples to use for marginal LL estimation.
- batch_size :
int,None Minibatch size for data loading into model. Defaults to scvi.settings.batch_size.
- return_mean :
bool,None If False, return the marginal log likelihood for each observation. Otherwise, return the mmean arginal log likelihood.
- adata :
- Return type
Tensor,float