Args |
observations
|
a (structure of) Tensors, each of shape
concat([[num_observation_steps, b1, ..., bN], event_shape]) with
optional batch dimensions b1, ..., bN .
|
history_size
|
integer Tensor number of steps of history to pass.
|
num_transitions_per_observation
|
integer Tensor number of
state transitions between regular observation points. A value of 1
indicates that there is an observation at every timestep,
2 that every other step is observed, and so on. Values greater than 1
may be used with an appropriately-chosen transition function to
approximate continuous-time dynamics. The initial and final steps
(steps 0 and num_timesteps - 1 ) are always observed.
Default value: 1 .
|