epic.framework

AugmentableInference

trait AugmentableInference[Datum, Augment] extends Inference[Datum]

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.

Datum

the kind of thing to do inference on

Augment

the extra piece of information we can use to do inference

Linear Supertypes
Inference[Datum], Serializable, Serializable, AnyRef, Any
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Type Members

  1. abstract type Marginal <: framework.Marginal

    Definition Classes
    Inference
  2. abstract type Scorer

    Definition Classes
    Inference

Abstract Value Members

  1. abstract def baseAugment(v: Datum): Augment

    The "no prior information" augment.

    The "no prior information" augment. Used if nothing is passed in.

  2. abstract def goldMarginal(scorer: Scorer, v: Datum, aug: Augment): Marginal

  3. abstract def marginal(scorer: Scorer, v: Datum, aug: Augment): Marginal

  4. abstract def scorer(v: Datum): Scorer

    Definition Classes
    AugmentableInferenceInference

Concrete Value Members

  1. final def !=(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0

    Definition Classes
    Any
  5. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  6. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  7. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any
  8. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  9. def forTesting: AugmentableInference[Datum, Augment]

    Definition Classes
    AugmentableInferenceInference
  10. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any
  11. def goldMarginal(scorer: Scorer, v: Datum): Marginal

    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.

    v

    the example

    returns

    gold marginal

    Definition Classes
    AugmentableInferenceInference
  12. def hashCode(): Int

    Definition Classes
    AnyRef → Any
  13. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  14. def marginal(scorer: Scorer, v: Datum): 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

    v

    the example

    returns

    gold marginal

    Definition Classes
    AugmentableInferenceInference
  15. def marginal(v: Datum): Marginal

    Definition Classes
    Inference
  16. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  17. final def notify(): Unit

    Definition Classes
    AnyRef
  18. final def notifyAll(): Unit

    Definition Classes
    AnyRef
  19. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef
  20. def toString(): String

    Definition Classes
    AnyRef → Any
  21. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  22. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  23. final def wait(arg0: Long): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Inference[Datum]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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