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Type Members

1. trait ArgmaxInferencer[T, W, S] extends Inferencer[S]

   

2. class CompoundIterationCallback[T, W, S1, S2] extends IterationCallback[T, W, S1, S2]

   

3. trait ConvergenceChecker[W] extends AnyRef

   

4. trait Decoder[T, W, OracleS, MaxerS] extends AnyRef

   

5. case class DualVariableHolder[T, W](x: T, alphas: ArrayBuffer[Double] = ArrayBuffer[Double](), slack: Double = 0.0, constraints: ArrayBuffer[(W, Double)] = ArrayBuffer[(W, Double)]()) extends Product with Serializable

   

   This class stores the dual variables and constraints for each training exampe.

   This class stores the dual variables and constraints for each training exampe. It is mutable for efficiency purposes.

6. trait ExpectationInferencer[T, W, S] extends Inferencer[S]

   

7. class FixedIterationConvergenceChecker[W] extends ConvergenceChecker[W]

   

8. class FixedStepSizeUpdater[W] extends Updater[W]

   

9. trait Inferencer[S] extends AnyRef

   

10. trait IterationCallback[T, W, OracleS, MaxerS] extends AnyRef

    

11. class L1Objective[W] extends ObjectiveFunction[W]

    

12. class L1Updater[W] extends Updater[W]

    

13. class L2Objective[W] extends ObjectiveFunction[W]

    

14. class L2Updater[W] extends Updater[W]

    

15. type LabeledDatum[L, W] = Example[L, W]

    

16. case class LogLikelihoodDecoder[T, W, OracleS, ExpectationS](inferencer: OracleInferencer[T, W, OracleS], summer: ExpectationInferencer[T, W, ExpectationS])(implicit space: MutableInnerProductModule[W, Double]) extends Decoder[T, W, OracleS, ExpectationS] with Product with Serializable

    

17. case class LogoOpts(constraintEpsilon: Double = 1e-3, miniBatchSize: Int = 1, numInnerOptimizationLoops: Int = 10, numOuterOptimizationLoops: Int = 10, shuffleMinibatches: Boolean = false, shuffleSeed: Int = 1, convergenceTolerance: Double = 1e-3) extends Product with Serializable

    

18. trait LossAugmentedArgmaxInferencer[T, W, S] extends ArgmaxInferencer[T, W, S]

    

19. trait LossAugmentedExpectationInferencer[T, W, S] extends ExpectationInferencer[T, W, S]

    

20. case class LossAugmentedMaxMarginDecoder[T, W, OracleS, ArgmaxerS](oracleInferencer: OracleInferencer[T, W, OracleS], argmaxer: LossAugmentedArgmaxInferencer[T, W, ArgmaxerS])(implicit space: MutableInnerProductModule[W, Double]) extends Decoder[T, W, OracleS, ArgmaxerS] with Product with Serializable

    

21. case class MaxMarginDecoder[T, W, OracleS, MaxerS](oracleInferencer: OracleInferencer[T, W, OracleS], argmaxer: ArgmaxInferencer[T, W, MaxerS])(implicit space: MutableInnerProductModule[W, Double]) extends Decoder[T, W, OracleS, MaxerS] with Product with Serializable

    

22. case class MaxMarginRankingDecoder[T, W, S](inferencer: LossAugmentedArgmaxInferencer[T, W, S], gamma: Double = 0.0)(implicit space: MutableInnerProductModule[W, Double]) extends Decoder[T, W, S, S] with Product with Serializable

    

23. case class MinibatchInput[T, W](instance: DualVariableHolder[T, W], instanceNum: Int) extends Product with Serializable

    

24. case class MinibatchOutput[T, W, OracleS, MaxerS](instance: DualVariableHolder[T, W], instanceNum: Int, df: W, loss: Double, oracleState: OracleS, maxerState: MaxerS) extends Product with Serializable

    

25. case class MulticlassClassifier[L, F, W](weights: Weights[W], argmaxInferencer: MulticlassLossAugmentedArgmaxInferencer[L, F, W]) extends Product with Serializable

    

26. class MulticlassLossAugmentedArgmaxInferencer[L, F, W] extends LossAugmentedArgmaxInferencer[LabeledDatum[L, F], W, Unit]

    

27. class MulticlassOneSlackLossAugmentedArgmaxInferencer[L, F, W] extends LossAugmentedArgmaxInferencer[Seq[LabeledDatum[L, F]], W, Unit]

    

28. class MulticlassOneSlackOracleInferencer[L, F, W] extends OracleInferencer[Seq[LabeledDatum[L, F]], W, Unit]

    

29. case class MulticlassOracleInferencer[L, F, W](validLabels: IndexedSeq[L], labelConjoiner: (L, F) ⇒ W)(implicit space: MutableInnerProductModule[W, Double]) extends OracleInferencer[LabeledDatum[L, F], W, Unit] with Product with Serializable

    

30. case class NullIterationCallback[T, W, S1, S2]() extends IterationCallback[T, W, S1, S2] with Product with Serializable

    

31. trait ObjectiveFunction[W] extends AnyRef

    

32. case class ObjectiveFunctionConvergenceChecker[W](objective: ObjectiveFunction[W], maxNumIters: Int, callback: IterationCallback[_, W, _, _], tol: Double) extends ConvergenceChecker[W] with Product with Serializable

    

33. trait OracleInferencer[T, W, S] extends Inferencer[S]

    

34. class PegasosUpdater[W] extends Updater[W]

    

35. case class Trainer[T, W, OracleS, MaxerS](convergenceChecker: ConvergenceChecker[W], iterationCallback: IterationCallback[T, W, OracleS, MaxerS], decoder: Decoder[T, W, OracleS, MaxerS], updater: Updater[W], opts: LogoOpts = new LogoOpts(), initialConstraintAndAlpha: Option[((W, Double), Double)] = None, online: Boolean = false, average: Boolean = false)(implicit space: MutableInnerProductModule[W, Double]) extends SerializableLogging with Product with Serializable

    

36. trait Updater[W] extends AnyRef

    

37. class Weights[W] extends AnyRef