org.allenai.nlpstack.parse.poly.fsm

EmbeddedClassifier

Related Doc: package fsm

case class EmbeddedClassifier(classifier: ProbabilisticClassifier, transitions: IndexedSeq[StateTransition], featureNameMap: Seq[(Int, FeatureName)], numFeatures: Int) extends TransitionClassifier with Product with Serializable

An EmbeddedClassifier wraps a org.allenai.nlpstack.parse.poly.decisiontree.ProbabilisticClassifier implementation to provide a classifier interface that maps Transitions to probabilities.

classifier

the underlying classifier

transitions

the possible outcomes of the underlying classifier

featureNameMap

a list of the feature indices followed by their names

numFeatures

the number of features in the underlying classifier

Linear Supertypes
Serializable, Serializable, Product, Equals, TransitionClassifier, AnyRef, Any
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Instance Constructors

  1. new EmbeddedClassifier(classifier: ProbabilisticClassifier, transitions: IndexedSeq[StateTransition], featureNameMap: Seq[(Int, FeatureName)], numFeatures: Int)

    classifier

    the underlying classifier

    transitions

    the possible outcomes of the underlying classifier

    featureNameMap

    a list of the feature indices followed by their names

    numFeatures

    the number of features in the underlying classifier

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. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  5. val classifier: ProbabilisticClassifier

    the underlying classifier

  6. def classify(featureVector: FeatureVector): StateTransition

    Returns the most probable Transition according to .getDistribution(featureVector).

    Returns the most probable Transition according to .getDistribution(featureVector).

    featureVector

    the feature vector to use to compute the distribution

    returns

    the most probable Transition, given the argument feature vector

    Definition Classes
    EmbeddedClassifier → TransitionClassifier

  7. def clone(): AnyRef

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

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

    Definition Classes
    AnyRef

  9. val featureNameMap: Seq[(Int, FeatureName)]

    a list of the feature indices followed by their names

  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 getDistribution(featureVector: FeatureVector): Map[StateTransition, Float]

    Given the argument feature vector, this assigns a probability to a set of Transitions.

    Given the argument feature vector, this assigns a probability to a set of Transitions.

    featureVector

    the feature vector to use to compute the distribution

    returns

    a probability distribution over Transitions

    Definition Classes
    EmbeddedClassifier → TransitionClassifier

  13. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

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

    Definition Classes
    AnyRef

  15. final def notify(): Unit

    Definition Classes
    AnyRef

  16. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  17. val numFeatures: Int

    the number of features in the underlying classifier

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

    Definition Classes
    AnyRef

  19. val transitions: IndexedSeq[StateTransition]

    the possible outcomes of the underlying classifier

  20. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from TransitionClassifier

Inherited from AnyRef

Inherited from Any

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