class SemiCRFModel[L, W] extends Model[Segmentation[L, W]] with Serializable

Annotations
@SerialVersionUID()
Linear Supertypes
Model[Segmentation[L, W]], Model[Segmentation[L, W]], SerializableLogging, Serializable, Serializable, AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. SemiCRFModel
  2. Model
  3. Model
  4. SerializableLogging
  5. Serializable
  6. Serializable
  7. AnyRef
  8. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Instance Constructors

  1. new SemiCRFModel(featurizer: BIEOFeaturizer[L, W], constraintsFactory: Factory[L, W], initialWeights: (Feature) ⇒ Double = (_: Feature) => 0.0)

Type Members

  1. type ExpectedCounts = StandardExpectedCounts[Feature]
    Definition Classes
    Model → Model
  2. type Inference = SemiCRFInference[L, W]
    Definition Classes
    SemiCRFModel → Model
  3. type Marginal = SemiCRF.Marginal[L, W]
    Definition Classes
    SemiCRFModel → Model
  4. type Scorer = Anchoring[L, W]
    Definition Classes
    SemiCRFModel → Model

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. def accumulateCounts(inf: Inference, s: Scorer, d: Segmentation[L, W], marg: Marginal, counts: ExpectedCounts, scale: Double): Unit
    Definition Classes
    SemiCRFModel → Model
  5. final def accumulateCounts(inf: Inference, d: Segmentation[L, W], accum: ExpectedCounts, scale: Double): Unit
    Definition Classes
    Model
  6. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  7. def cacheFeatureWeights(weights: DenseVector[Double], suffix: String = ""): Unit

    Caches the weights using the cache broker.

    Caches the weights using the cache broker.

    Definition Classes
    Model
  8. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  9. val constraintsFactory: Factory[L, W]
  10. def emptyCounts: StandardExpectedCounts[Feature]
    Definition Classes
    Model → Model
  11. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  12. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  13. final def expectedCounts(inf: Inference, d: Segmentation[L, W], scale: Double = 1.0): ExpectedCounts
    Definition Classes
    Model
  14. def expectedCountsToObjective(ecounts: ExpectedCounts): (Double, DenseVector[Double])
    Definition Classes
    Model → Model
  15. def extractCRF(weights: DenseVector[Double]): Inference
  16. def featureIndex: Index[Feature]

    Models have features, and this defines the mapping from indices in the weight vector to features.

    Models have features, and this defines the mapping from indices in the weight vector to features.

    Definition Classes
    SemiCRFModel → Model
  17. val featurizer: BIEOFeaturizer[L, W]
  18. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  19. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
  20. def hashCode(): Int
    Definition Classes
    AnyRef → Any
  21. def inferenceFromWeights(weights: DenseVector[Double]): Inference
    Definition Classes
    SemiCRFModel → Model
  22. def initialValueForFeature(f: Feature): Double
    Definition Classes
    SemiCRFModel → Model
  23. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  24. def logger: LazyLogger
    Attributes
    protected
    Definition Classes
    SerializableLogging
  25. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  26. final def notify(): Unit
    Definition Classes
    AnyRef
  27. final def notifyAll(): Unit
    Definition Classes
    AnyRef
  28. def numFeatures: Int
    Definition Classes
    Model
  29. def readCachedFeatureWeights(suffix: String = ""): Option[DenseVector[Double]]

    just saves feature weights to disk as a serialized counter.

    just saves feature weights to disk as a serialized counter. The file is prefix.ser.gz

    Definition Classes
    Model
  30. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  31. def toString(): String
    Definition Classes
    AnyRef → Any
  32. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  33. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  34. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  35. def weightsCacheName: String
    Attributes
    protected
    Definition Classes
    Model

Inherited from Model[Segmentation[L, W]]

Inherited from Model[Segmentation[L, W]]

Inherited from SerializableLogging

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped