cc.factorie.optimize

StructuredPerceptronExample

class StructuredPerceptronExample[A <: Iterable[variable.Var], B <: model.Model] extends LikelihoodExample[A, B]

Implements the structured perceptron. It's equivalent to maximum likelihood with MAP inference.

A

The type of the labels

B

The type of the model

Linear Supertypes
LikelihoodExample[A, B], Example, AnyRef, Any
Known Subclasses
StructuredSVMExample
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  2. LikelihoodExample
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Instance Constructors

  1. new StructuredPerceptronExample(labels: A, model: B, infer: Maximize[A, B])

    labels

    The first argument to inference

    model

    The second argument to inference

    infer

    The inference routine

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 accumulateValueAndGradient(value: DoubleAccumulator, gradient: WeightsMapAccumulator): Unit

    Put objective value and gradient into the accumulators.

    Put objective value and gradient into the accumulators. Either argument can be null if they don't need to be computed.

    value

    Accumulator to hold value

    gradient

    Accumulator to hold gradient

    Definition Classes
    LikelihoodExample → Example

  7. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  8. def clone(): AnyRef

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

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

    Definition Classes
    AnyRef

  10. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  11. def finalize(): Unit

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

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

    Definition Classes
    AnyRef → Any

  13. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  14. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

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

    Definition Classes
    AnyRef

  16. final def notify(): Unit

    Definition Classes
    AnyRef

  17. final def notifyAll(): Unit

    Definition Classes
    AnyRef

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

    Definition Classes
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  19. def toString(): String

    Definition Classes
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  20. final def wait(): Unit

    Definition Classes
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    @throws( ... )

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

    Definition Classes
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    @throws( ... )

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

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Inherited from LikelihoodExample[A, B]

Inherited from Example

Inherited from AnyRef

Inherited from Any

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