epic.framework

EPModel

class EPModel[Datum, Augment <: AnyRef] extends Model[Datum] with SafeLogging

Linear Supertypes
Model[Datum], SafeLogging, AnyRef, Any
Known Subclasses
EPParserModel
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Inherited
  1. EPModel
  2. Model
  3. SafeLogging
  4. AnyRef
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Instance Constructors

  1. new EPModel(maxEPIter: Int, initFeatureValue: (Feature) ⇒ Option[Double] = ..., epInGold: Boolean = false, dropOutFraction: Double = 0.0)(_models: CompatibleModel[Datum, Augment]*)(implicit aIsFactor: <:<[Augment, Factor[Augment]])

Type Members

  1. type ExpectedCounts = EPExpectedCounts

    Definition Classes
    EPModel → Model

  2. type Inference = EPInference[Datum, Augment]

    Definition Classes
    EPModel → Model

  3. type Marginal = EPMarginal[Augment, ProjectableInference.Marginal]

    Definition Classes
    EPModel → Model

  4. type Scorer = EPScorer[ProjectableInference.Scorer]

    Definition Classes
    EPModel → Model

Value Members

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

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  3. final def ##(): Int

    Definition Classes
    AnyRef → Any

  4. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  5. final def ==(arg0: Any): Boolean

    Definition Classes
    Any

  6. def accumulateCounts(inf: Inference, s: Scorer, datum: Datum, marg: Marginal, accum: ExpectedCounts, scale: Double): Unit

    Definition Classes
    EPModel → Model

  7. final def accumulateCounts(inf: Inference, d: Datum, accum: ExpectedCounts, scale: Double): Unit

    Definition Classes
    Model

  8. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  9. def cacheFeatureWeights(weights: DenseVector[Double], suffix: String): Unit

    Caches the weights using the cache broker.

    Caches the weights using the cache broker.

    Definition Classes
    EPModel → Model

  10. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  11. def emptyCounts: EPExpectedCounts

    Definition Classes
    EPModel → Model

  12. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  13. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  14. final def expectedCounts(inf: Inference, d: Datum, scale: Double = 1.0): ExpectedCounts

    Definition Classes
    Model

  15. def expectedCountsToObjective(ecounts: EPExpectedCounts): (Double, DenseVector[Double])

    Definition Classes
    EPModel → Model

  16. val 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.

    returns

    Definition Classes
    EPModel → Model

  17. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  18. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any

  19. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  20. def inferenceFromWeights(weights: DenseVector[Double], dropOutFraction: Double): EPInference[Datum, Augment]

  21. def inferenceFromWeights(weights: DenseVector[Double]): EPInference[Datum, Augment]

    Definition Classes
    EPModel → Model

  22. def initialValueForFeature(f: Feature): Double

    Definition Classes
    EPModel → Model

  23. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  24. def logger: Logger

    Definition Classes
    SafeLogging

  25. def models: Seq[CompatibleModel[Datum, Augment]]

  26. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  27. final def notify(): Unit

    Definition Classes
    AnyRef

  28. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  29. def numFeatures: Int

    Definition Classes
    Model

  30. def numModels: Int

  31. 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
    EPModel → Model

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

    Definition Classes
    AnyRef

  33. def toString(): String

    Definition Classes
    AnyRef → Any

  34. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  36. final def wait(arg0: Long): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  37. def weightsCacheName: String

    Attributes
    protected
    Definition Classes
    Model

Inherited from Model[Datum]

Inherited from SafeLogging

Inherited from AnyRef

Inherited from Any

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