gemlib.distributions.DiscreteTimeStateTransitionModel.log_prob

gemlib.distributions.DiscreteTimeStateTransitionModel.log_prob#

DiscreteTimeStateTransitionModel.log_prob(value, name='log_prob', **kwargs)#

Log probability density/mass function.

Parameters:
  • valuefloat or double Tensor.

  • name – Python str prepended to names of ops created by this function.

  • **kwargs – Named arguments forwarded to subclass implementation.

Returns:

a Tensor of shape sample_shape(x) + self.batch_shape with

values of type self.dtype.

Return type:

log_prob