ContinuousTimeStateTransitionModel.log_prob#
- ContinuousTimeStateTransitionModel.log_prob(value, name='log_prob', **kwargs)#
Log probability density/mass function.
Additional documentation from ContinuousTimeStateTransitionModel:
Computes the log probability of the given outcomes.
- Parameters:
value (EventList) – an EventList object representing the outcomes.
value – float or double Tensor.
name – Python str prepended to names of ops created by this function.
**kwargs – Named arguments forwarded to subclass implementation.
- Returns:
The log probability of the given outcomes.
- Return type:
float
- Returns:
- a Tensor of shape sample_shape(x) + self.batch_shape with
values of type self.dtype.
- Return type:
log_prob