tfprobability (version 0.12.0.0)

layer_multivariate_normal_tri_l: A d-variate Multivariate Normal TriL Keras layer from d+d*(d+1)/ 2 params

Description

A d-variate Multivariate Normal TriL Keras layer from d+d*(d+1)/ 2 params

Usage

layer_multivariate_normal_tri_l(
  object,
  event_size,
  convert_to_tensor_fn = tfp$distributions$Distribution$sample,
  validate_args = FALSE,
  ...
)

Arguments

object

Model or layer object

event_size

Integer vector tensor representing the shape of single draw from this distribution.

convert_to_tensor_fn

A callable that takes a tfd$Distribution instance and returns a tf$Tensor-like object. Default value: tfd$distributions$Distribution$sample.

validate_args

Logical, default FALSE. When TRUE distribution parameters are checked for validity despite possibly degrading runtime performance. When FALSE invalid inputs may silently render incorrect outputs. Default value: FALSE.

...

Additional arguments passed to args of keras::create_layer.

Value

a Keras layer

See Also

For an example how to use in a Keras model, see layer_independent_normal().

Other distribution_layers: layer_categorical_mixture_of_one_hot_categorical(), layer_distribution_lambda(), layer_independent_bernoulli(), layer_independent_logistic(), layer_independent_normal(), layer_independent_poisson(), layer_kl_divergence_add_loss(), layer_kl_divergence_regularizer(), layer_mixture_logistic(), layer_mixture_normal(), layer_mixture_same_family(), layer_one_hot_categorical()