R: Vector Deterministic Distribution

tfd_vector_deterministic {tfprobability}

R Documentation

Vector Deterministic Distribution

Description

The VectorDeterministic distribution is parameterized by a batch point loc in R^k. The distribution is supported at this point only, and corresponds to a random variable that is constant, equal to loc.

Usage

tfd_vector_deterministic(
  loc,
  atol = NULL,
  rtol = NULL,
  validate_args = FALSE,
  allow_nan_stats = TRUE,
  name = "VectorDeterministic"
)

Arguments

`loc`	Numeric Tensor of shape [B1, ..., Bb, k], with b >= 0, k >= 0 The point (or batch of points) on which this distribution is supported.
`atol`	Non-negative Tensor of same dtype as loc and broadcastable shape. The absolute tolerance for comparing closeness to loc. Default is 0.
`rtol`	Non-negative Tensor of same dtype as loc and broadcastable shape. The relative tolerance for comparing closeness to loc. Default is 0.
`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.

Details

See Degenerate rv.

Value