SemiCRFInference

Instance Constructors

new SemiCRFInference(weights: DenseVector[Double], featureIndex: Index[Feature], featurizer: BIEOFeaturizer[L, W], constraintsFactory: Factory[L, W])

Type Members

case class Anchoring(localization: BIEOFeatureAnchoring[L, W], constraints: LabeledSpanConstraints[L]) extends SemiCRF.Anchoring[L, W] with Product with Serializable
type Marginal = SemiCRF.Marginal[L, W]

Definition Classes
SemiCRFInference → Inference
type Scorer = SemiCRF.Anchoring[L, W]

Definition Classes
SemiCRFInference → 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: Segmentation[L, W]): SemiCRF.Anchoring[L, W]

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

Definition Classes
SemiCRFInference → AugmentableInference
def bestSequence(w: IndexedSeq[W], id: String = ""): Segmentation[L, W]

Definition Classes
SemiCRF
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
val constraintsFactory: Factory[L, W]
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: AugmentableInference[Segmentation[L, W], SemiCRF.Anchoring[L, W]]

Definition Classes
AugmentableInference → Inference
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
def goldMarginal(scorer: Scorer, v: Segmentation[L, W], aug: SemiCRF.Anchoring[L, W]): Marginal

Definition Classes
SemiCRFInference → AugmentableInference
def goldMarginal(segmentation: IndexedSeq[(L, Span)], w: IndexedSeq[W]): SemiCRF.Marginal[L, W]

Definition Classes
SemiCRF
def goldMarginal(scorer: Scorer, v: Segmentation[L, W]): 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
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
val labelIndex: OptionIndex[L]

Definition Classes
SemiCRFInference → SemiCRF
def marginal(scorer: Scorer, v: Segmentation[L, W], aug: SemiCRF.Anchoring[L, W]): Marginal

Definition Classes
SemiCRFInference → AugmentableInference
def marginal(w: IndexedSeq[W]): SemiCRF.Marginal[L, W]

Definition Classes
SemiCRF
def marginal(scorer: Scorer, v: Segmentation[L, W]): 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: Segmentation[L, W]): Marginal

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

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
def posteriorDecode(m: Marginal): Segmentation[L, W]
def scorer(v: Segmentation[L, W]): Scorer

Definition Classes
SemiCRFInference → AugmentableInference → Inference
def scorer(w: IndexedSeq[W]): Anchoring

Definition Classes
SemiCRFInference → SemiCRF
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
AnyRef → Any
def viterbi(sentence: IndexedSeq[W], anchoring: SemiCRF.Anchoring[L, W]): Segmentation[L, W]
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( ... )

Related Doc: package sequences

class SemiCRFInference[L, W] extends AugmentableInference[Segmentation[L, W], Anchoring[L, W]] with SemiCRF[L, W] with Serializable

Instance Constructors

new SemiCRFInference(weights: DenseVector[Double], featureIndex: Index[Feature], featurizer: BIEOFeaturizer[L, W], constraintsFactory: Factory[L, W])

Type Members

case class Anchoring(localization: BIEOFeatureAnchoring[L, W], constraints: LabeledSpanConstraints[L]) extends SemiCRF.Anchoring[L, W] with Product with Serializable

type Marginal = SemiCRF.Marginal[L, W]

type Scorer = SemiCRF.Anchoring[L, W]

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def baseAugment(v: Segmentation[L, W]): SemiCRF.Anchoring[L, W]

def bestSequence(w: IndexedSeq[W], id: String = ""): Segmentation[L, W]

def clone(): AnyRef

val constraintsFactory: Factory[L, W]

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

def forTesting: AugmentableInference[Segmentation[L, W], SemiCRF.Anchoring[L, W]]

final def getClass(): Class[_]

def goldMarginal(scorer: Scorer, v: Segmentation[L, W], aug: SemiCRF.Anchoring[L, W]): Marginal

def goldMarginal(segmentation: IndexedSeq[(L, Span)], w: IndexedSeq[W]): SemiCRF.Marginal[L, W]

def goldMarginal(scorer: Scorer, v: Segmentation[L, W]): Marginal

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

val labelIndex: OptionIndex[L]

def marginal(scorer: Scorer, v: Segmentation[L, W], aug: SemiCRF.Anchoring[L, W]): Marginal

def marginal(w: IndexedSeq[W]): SemiCRF.Marginal[L, W]

def marginal(scorer: Scorer, v: Segmentation[L, W]): Marginal

def marginal(v: Segmentation[L, W]): Marginal

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def posteriorDecode(m: Marginal): Segmentation[L, W]

def scorer(v: Segmentation[L, W]): Scorer

def scorer(w: IndexedSeq[W]): Anchoring

final def synchronized[T0](arg0: ⇒ T0): T0

def toString(): String

def viterbi(sentence: IndexedSeq[W], anchoring: SemiCRF.Anchoring[L, W]): Segmentation[L, W]

final def wait(): Unit

final def wait(arg0: Long, arg1: Int): Unit

final def wait(arg0: Long): Unit

Inherited from SemiCRF[L, W]

Inherited from AugmentableInference[Segmentation[L, W], SemiCRF.Anchoring[L, W]]

Inherited from Inference[Segmentation[L, W]]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped