scvi.external.tangram.TangramMapper

class scvi.external.tangram.TangramMapper(n_obs_sc, n_obs_sp, lambda_g1=1.0, lambda_d=0.0, lambda_g2=0.0, lambda_r=0.0, lambda_count=1.0, lambda_f_reg=1.0, constrained=False, target_count=None)

Bases: BaseModuleClass

Torch Tangram Mapper Model.

Attributes table

training

Methods table

generative()	No generative model here.
inference()	Run inference model.
loss(tensors, inference_outputs, ...)	Compute loss.
sample(*args, **kwargs)	Not implemented for Tangram.

Attributes

TangramMapper.training: bool

Methods

TangramMapper.generative()

No generative model here.

Return type:

dict

TangramMapper.inference()

Run inference model.

Return type:

dict

TangramMapper.loss(tensors, inference_outputs, generative_outputs)

Compute loss.

TangramMapper.sample(*args, **kwargs)

Not implemented for Tangram.