tfprobability: sts_sample_uniform_initial_state – R documentation

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tfprobability

sts_sample_uniform_initial_state

Initialize from a uniform [-2, 2] distribution in unconstrained space.

Description

Initialize from a uniform [-2, 2] distribution in unconstrained space.

Usage

sts_sample_uniform_initial_state(
  parameter,
  return_constrained = TRUE,
  init_sample_shape = list(),
  seed = NULL
)

Arguments

`parameter`	`sts$Parameter` named tuple instance.
`return_constrained`	if `TRUE`, re-applies the constraining bijector to return initializations in the original domain. Otherwise, returns initializations in the unconstrained space. Default value: `TRUE`.
`init_sample_shape`	`sample_shape` of the sampled initializations. Default value: `list()`.
`seed`	integer to seed the random number generator.

Value

uniform_initializer Tensor of shape concat([init_sample_shape, parameter.prior.batch_shape, transformed_event_shape]), where transformed_event_shape is parameter.prior.event_shape, if return_constrained=TRUE, and otherwise it is parameter$bijector$inverse_event_shape(parameter$prior$event_shape).