netmap.model.zinbautoencoder.get_thetas_grouping

netmap.model.zinbautoencoder.get_thetas_grouping(model, data_tensor, grouping)[source]

Return the mean predicted theta per observation group.

Parameters:
  • model (ZINBAutoencoder) – A trained ZINB autoencoder.

  • data_tensor (torch.Tensor) – Input data on CPU; moved to CUDA internally.

  • grouping (array-like) – Group label per cell, length n_cells.

Returns:

Mapping {group_label: numpy.ndarray} of mean theta per gene.

Return type:

dict