OneBestModelAdaptor

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

   

   Definition Classes

   OneBestModelAdaptor → Model

5. final def accumulateCounts(inf: Inference, d: Datum, 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. def emptyCounts: ExpectedCounts

   

   Definition Classes

   OneBestModelAdaptor → Model

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

    

    Definition Classes

    AnyRef

11. def equals(arg0: Any): Boolean

    

    Definition Classes

    AnyRef → Any

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

    

    Definition Classes

    Model

13. def expectedCountsToObjective(ecounts: ExpectedCounts): (Double, DenseVector[Double])

    

    Definition Classes

    OneBestModelAdaptor → Model

14. 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

15. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( classOf[java.lang.Throwable] )

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

    

    Definition Classes

    AnyRef → Any

17. def hashCode(): Int

    

    Definition Classes

    AnyRef → Any

18. def inferenceFromWeights(weights: DenseVector[Double]): Inference

    

    Definition Classes

    OneBestModelAdaptor → Model

19. def initialValueForFeature(f: Feature): Double

    

    Definition Classes

    OneBestModelAdaptor → Model

20. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

21. def logger: Logger

    

    Definition Classes

    SafeLogging

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

    

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

    

    Definition Classes

    AnyRef

24. final def notify(): Unit

    

    Definition Classes

    AnyRef

25. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

26. def numFeatures: Int

    

    Definition Classes

    Model

27. 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

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

    

    Definition Classes

    AnyRef

29. def toString(): String

    

    Definition Classes

    AnyRef → Any

30. final def wait(): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

33. def weightsCacheName: String

    

    Attributes

    protected

    Definition Classes

    Model