PoissonDecoder

latent.modules.decoder.PoissonDecoder

Decoder with poisson reconstruction loss. Uses size factors to deal with count data.

__init__(self, x_dim, name='poisson_decoder', hidden_units=[128, 128], reconstruction_loss='poisson', loss_name='poisson_loss', initializer='glorot_normal', **kwargs) special

Parameters:

Name	Type	Description	Default
x_dim	int	Integer indicating the number of dimensions in the input data.	required
name	str	String indicating the name of the model.	'poisson_decoder'
hidden_units	Iterable[int]	Number of hidden units in DenseStack. If set to None the model skips the DenseStack and reduces to a linear decoder (Svensson 2020).	[128, 128]
reconstruction_loss	Union[Callable, str]	Function to compute reconstruction loss.	'poisson'
loss_name	str	String indicating the name of the loss.	'poisson_loss'
initializer	Union[str, Callable]	Initializer for the kernel weights matrix (see keras.initializers)	'glorot_normal'
**kwargs		Other arguments passed on to DenseStack.	{}