Class

epic.preprocess.MLSentenceSegmenter

ClassificationInference

Related Doc: package MLSentenceSegmenter

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case class ClassificationInference(featureIndex: Index[Feature], weights: DenseVector[Double]) extends Inference[SentenceDecisionInstance] with Product with Serializable

Annotations
@SerialVersionUID()
Linear Supertypes
Product, Equals, Inference[SentenceDecisionInstance], Serializable, Serializable, AnyRef, Any
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Inherited
  1. ClassificationInference
  2. Product
  3. Equals
  4. Inference
  5. Serializable
  6. Serializable
  7. AnyRef
  8. Any
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Visibility
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Instance Constructors

  1. new ClassificationInference(featureIndex: Index[Feature], weights: DenseVector[Double])

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Type Members

  1. type Marginal = MLSentenceSegmenter.Marginal

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    Definition Classes
    ClassificationInferenceInference
  2. type Scorer = ClassificationInference

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    Definition Classes
    ClassificationInferenceInference

Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  5. def classify(features: Array[Feature]): Boolean

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  6. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  7. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  8. val featureIndex: Index[Feature]

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  9. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  10. def forTesting: Inference[SentenceDecisionInstance]

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

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    Definition Classes
    AnyRef → Any
  12. def goldMarginal(scorer: Scorer, v: SentenceDecisionInstance): Marginal

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    Produces the "gold marginal" which is the marginal conditioned on the output label/structure itself.

    Produces the "gold marginal" which is the marginal conditioned on the output label/structure itself.

    v

    the example

    returns

    gold marginal

    Definition Classes
    ClassificationInferenceInference
  13. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  14. def marginal(scorer: Scorer, v: SentenceDecisionInstance): Marginal

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    Produces the "guess marginal" which is the marginal conditioned on only the input data

    Produces the "guess marginal" which is the marginal conditioned on only the input data

    v

    the example

    returns

    gold marginal

    Definition Classes
    ClassificationInferenceInference
  15. def marginal(v: SentenceDecisionInstance): Marginal

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    Definition Classes
    Inference
  16. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  17. final def notify(): Unit

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    Definition Classes
    AnyRef
  18. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  19. def scorer(v: SentenceDecisionInstance): Scorer

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    Definition Classes
    ClassificationInferenceInference
  20. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  21. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  22. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  23. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  24. val weights: DenseVector[Double]

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Inherited from Product

Inherited from Equals

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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