tfprobability: tfb_inverse_log_det_jacobian – R documentation

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tfb_inverse_log_det_jacobian

Returns the result of the inverse evaluation of the log determinant of the Jacobian

Returns the result of the inverse evaluation of the log determinant of the Jacobian

tfb_inverse_log_det_jacobian(
  bijector,
  y,
  event_ndims,
  name = "inverse_log_det_jacobian"
)

`bijector`	The bijector to apply
`y`	Tensor. The input to the "inverse" Jacobian determinant evaluation.
`event_ndims`	Number of dimensions in the probabilistic events being transformed. Must be greater than or equal to bijector$inverse_min_event_ndims. The result is summed over the final dimensions to produce a scalar Jacobian determinant for each event, i.e. it has shape x$shape$ndims - event_ndims dimensions.
`name`	name of the operation

a tensor

b <- tfb_affine_scalar(shift = 1, scale = 2)
  x <- 10
  y <- b %>% tfb_forward(x)
  b %>% tfb_inverse_log_det_jacobian(y, event_ndims = 0)

Interface to 'TensorFlow Probability'

v0.11.0.0

Apache License (>= 2.0)

Authors

Sigrid Keydana [aut, cre], Daniel Falbel [ctb], Kevin Kuo [ctb] (<https://orcid.org/0000-0001-7803-7901>), RStudio [cph]

Initial release