tfp.mcmc.random_walk_uniform_fn | TensorFlow Probability (original) (raw)
tfp.mcmc.random_walk_uniform_fn
Returns a callable that adds a random uniform perturbation to the input.
tfp.mcmc.random_walk_uniform_fn(
scale=1.0, name=None
)
For more details on random_walk_uniform_fn, seerandom_walk_normal_fn. scale might be a Tensor or a list of Tensors that should broadcast with state parts of the current_state. The generated uniform perturbation is sampled as a uniform point on the rectangle [-scale, scale].
| Args | |
|---|---|
| scale | a Tensor or Python list of Tensors of any shapes and dtypescontrolling the upper and lower bound of the uniform proposal distribution. |
| name | Python str name prefixed to Ops created by this function. Default value: 'random_walk_uniform_fn'. |
| Returns | |
|---|---|
| random_walk_uniform_fn | A callable accepting a Python list of Tensors representing the state parts of the current_state and an intrepresenting the random seed used to generate the proposal. The callable returns the same-type list of Tensors as the input and represents the proposal for the RWM algorithm. |
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Last updated 2023-11-21 UTC.