tfd_blockwise: Blockwise distribution

In tfprobability: Interface to 'TensorFlow Probability'

Blockwise distribution

Description

Blockwise distribution

Usage

tfd_blockwise(
  distributions,
  dtype_override = NULL,
  validate_args = FALSE,
  allow_nan_stats = FALSE,
  name = "Blockwise"
)

Arguments

distributions	list of Distribution instances. All distribution instances must have the same batch_shape and all must have 'event_ndims==1“, i.e., be vector-variate distributions.
dtype_override	samples of distributions will be cast to this dtype. If unspecified, all distributions must have the same dtype. Default value: NULL (i.e., do not cast).
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.
allow_nan_stats	Logical, default TRUE. When TRUE, statistics (e.g., mean, mode, variance) use the value NaN to indicate the result is undefined. When FALSE, an exception is raised if one or more of the statistic's batch members are undefined.
name	name prefixed to Ops created by this class.

Value

a distribution instance.

See Also

For usage examples see e.g. tfd_sample(), tfd_log_prob(), tfd_mean().

tfprobability documentation built on Sept. 1, 2022, 5:07 p.m.