class EPInference[Datum, Augment <: AnyRef] extends ProjectableInference[Datum, Augment] with SerializableLogging with Serializable
Linear Supertypes
Ordering
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- By Inheritance
Inherited
- EPInference
- SerializableLogging
- ProjectableInference
- AugmentableInference
- Inference
- Serializable
- Serializable
- AnyRef
- Any
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Visibility
- Public
- All
Instance Constructors
- new EPInference(inferences: IndexedSeq[ProjectableInference[Datum, Augment]], maxEPIter: Int, epInGold: Boolean = false)(implicit aIsFactor: <:<[Augment, Factor[Augment]])
Type Members
- type ExpectedCounts = EPExpectedCounts
-
type
Marginal = EPMarginal[Augment, ProjectableInference.Marginal]
- Definition Classes
- EPInference → Inference
-
type
Scorer = EPScorer[ProjectableInference.Scorer]
- Definition Classes
- EPInference → Inference
Value Members
-
final
def
!=(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
final
def
##(): Int
- Definition Classes
- AnyRef → Any
-
final
def
==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
final
def
asInstanceOf[T0]: T0
- Definition Classes
- Any
-
def
baseAugment(v: Datum): Augment
The "no prior information" augment.
The "no prior information" augment. Used if nothing is passed in.
- Definition Classes
- EPInference → AugmentableInference
-
def
clone(): AnyRef
- Attributes
- protected[java.lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
- val epInGold: Boolean
-
final
def
eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
def
equals(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
def
finalize(): Unit
- Attributes
- protected[java.lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( classOf[java.lang.Throwable] )
-
def
forTesting: EPInference[Datum, Augment]
- Definition Classes
- EPInference → ProjectableInference → AugmentableInference → Inference
-
final
def
getClass(): Class[_]
- Definition Classes
- AnyRef → Any
-
def
goldMarginal(scorer: Scorer, datum: Datum, augment: Augment): Marginal
- Definition Classes
- EPInference → AugmentableInference
-
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
- AugmentableInference → Inference
-
def
hashCode(): Int
- Definition Classes
- AnyRef → Any
- val inferences: IndexedSeq[ProjectableInference[Datum, Augment]]
-
final
def
isInstanceOf[T0]: Boolean
- Definition Classes
- Any
-
def
logger: LazyLogger
- Attributes
- protected
- Definition Classes
- SerializableLogging
-
def
marginal(scorer: Scorer, datum: Datum, augment: Augment): Marginal
- Definition Classes
- EPInference → AugmentableInference
-
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
- AugmentableInference → Inference
-
def
marginal(v: Datum): Marginal
- Definition Classes
- Inference
- val maxEPIter: Int
-
final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
final
def
notify(): Unit
- Definition Classes
- AnyRef
-
final
def
notifyAll(): Unit
- Definition Classes
- AnyRef
-
def
project(v: Datum, s: Scorer, m: Marginal, oldAugment: Augment): Augment
- Definition Classes
- EPInference → ProjectableInference
-
def
scorer(v: Datum): Scorer
- Definition Classes
- EPInference → AugmentableInference → Inference
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
-
def
toString(): String
- Definition Classes
- AnyRef → Any
-
final
def
wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long, arg1: Int): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )