The "no prior information" augment.
The "no prior information" augment. Used if nothing is passed in.
Produces the "gold marginal" which is the marginal conditioned on the output label/structure itself.
Produces the "gold marginal" which is the marginal conditioned on the output label/structure itself.
the example
gold marginal
Produces the "guess marginal" which is the marginal conditioned on only the input data
Produces the "guess marginal" which is the marginal conditioned on only the input data
the example
gold marginal
AugmentableInference is an epic.framework.Inference that can support injecting additional information into the structure computation. This can include prior information over the structure (useful for EP or other Bayesian inference) or loss-augmentation.
the kind of thing to do inference on
the extra piece of information we can use to do inference