OneBestModelAdaptor

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, d: Datum, m: Marginal, accum: ExpectedCounts, scale: Double): Unit

   Definition Classes

   OneBestModelAdaptor → 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

   Model

10. def clone(): AnyRef

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

11. def emptyCounts: ExpectedCounts

    Definition Classes

    OneBestModelAdaptor → 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: ExpectedCounts): (Double, DenseVector[Double])

    Definition Classes

    OneBestModelAdaptor → Model

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.

    returns

    Definition Classes

    OneBestModelAdaptor → 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]): Inference

    Definition Classes

    OneBestModelAdaptor → Model

21. def initialValueForFeature(f: Feature): Double

    Definition Classes

    OneBestModelAdaptor → Model

22. final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

23. def logger: Logger

    Definition Classes

    SafeLogging

24. val model: Model[Datum] { type Inference <: epic.framework.AnnotatingInference[Datum] }

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