cc.factorie.optimize

SampleRankTrainer

class SampleRankTrainer[C] extends OnlineTrainer

Linear Supertypes
OnlineTrainer, FastLogging, Logging, Trainer, AnyRef, Any
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Inherited
  1. SampleRankTrainer
  2. OnlineTrainer
  3. FastLogging
  4. Logging
  5. Trainer
  6. AnyRef
  7. Any
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Instance Constructors

  1. new SampleRankTrainer(sampler: ProposalSampler[C])

  2. new SampleRankTrainer(sampler: ProposalSampler[C], optimizer: GradientOptimizer)

  3. new SampleRankTrainer(weightsSet: WeightsSet, sampler: ProposalSampler[C], optimizer: GradientOptimizer = ..., logEveryN: Int = scala.Int.MaxValue)

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. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  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. def finalize(): Unit

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

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

    Definition Classes
    AnyRef → Any

  12. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  13. def isConverged: Boolean

    Would more training help?

    Would more training help?

    Definition Classes
    OnlineTrainer → Trainer

  14. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  15. var iteration: Int

    Definition Classes
    OnlineTrainer

  16. val logger: Logger

    Definition Classes
    FastLogging → Logging

  17. val maxIterations: Int

    Definition Classes
    OnlineTrainer

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

    Definition Classes
    AnyRef

  19. final def notify(): Unit

    Definition Classes
    AnyRef

  20. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  21. def process(example: Example): Unit

  22. def processContext(context: C, iterations: Int): Unit

  23. def processContext(context: C): Unit

  24. def processContexts(contexts: Iterable[C], iterations: Int): Unit

  25. def processContexts(contexts: Iterable[C]): Unit

  26. def processExamples(examples: Iterable[Example], iterations: Int): Unit

  27. def processExamples(examples: Iterable[Example]): Unit

    Process the examples once.

    Process the examples once.

    examples

    Examples to be processed

    Definition Classes
    OnlineTrainer → Trainer

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

    Definition Classes
    AnyRef

  29. def toString(): String

    Definition Classes
    AnyRef → Any

  30. def trainFromExamples(examples: Iterable[Example]): Unit

    Repeatedly process the examples until training has converged.

    Repeatedly process the examples until training has converged.

    Definition Classes
    Trainer

  31. val valueAccumulator: LocalDoubleAccumulator

    Definition Classes
    OnlineTrainer

  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( ... )

Inherited from OnlineTrainer

Inherited from FastLogging

Inherited from Logging

Inherited from Trainer

Inherited from AnyRef

Inherited from Any

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