trait Model[Datum] extends SerializableLogging

A Model represents a class for turning weight vectors into epic.framework.Inferences. It's main job is to hook up with a epic.framework.ModelObjective and mediate computation of ExpectedCounts and conversion to the objective that's needed for optimization.

Datum

the kind of

Self Type
Model[Datum]
Linear Supertypes
SerializableLogging, Serializable, Serializable, AnyRef, Any
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Type Members

  1. abstract type ExpectedCounts >: Null <: framework.ExpectedCounts[ExpectedCounts]
  2. abstract type Inference <: framework.Inference[Datum] { ... /* 2 definitions in type refinement */ }
  3. abstract type Marginal <: framework.Marginal
  4. abstract type Scorer

Abstract Value Members

  1. abstract def accumulateCounts(inf: Inference, s: Scorer, d: Datum, m: Marginal, accum: ExpectedCounts, scale: Double): Unit
  2. abstract def emptyCounts: ExpectedCounts
  3. abstract def expectedCountsToObjective(ecounts: ExpectedCounts): (Double, DenseVector[Double])
  4. abstract def featureIndex: Index[Feature]

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

  5. abstract def inferenceFromWeights(weights: DenseVector[Double]): Inference
  6. abstract def initialValueForFeature(f: Feature): Double

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 accumulateCounts(inf: Inference, d: Datum, accum: ExpectedCounts, scale: Double): Unit
  5. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. def cacheFeatureWeights(weights: DenseVector[Double], suffix: String = ""): Unit

    Caches the weights using the cache broker.

  7. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  8. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  9. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  10. final def expectedCounts(inf: Inference, d: Datum, scale: Double = 1.0): ExpectedCounts
  11. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  12. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
  13. def hashCode(): Int
    Definition Classes
    AnyRef → Any
  14. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  15. def logger: LazyLogger
    Attributes
    protected
    Definition Classes
    SerializableLogging
  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. def numFeatures: Int
  20. 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

  21. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  22. def toString(): String
    Definition Classes
    AnyRef → Any
  23. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  24. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  25. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  26. def weightsCacheName: String
    Attributes
    protected

Inherited from SerializableLogging

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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