Class

com.johnsnowlabs.nlp.annotators.parser.dep

Perceptron

Related Doc: package dep

Permalink

class Perceptron extends Serializable

Linear Supertypes
Serializable, Serializable, AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. Perceptron
  2. Serializable
  3. Serializable
  4. AnyRef
  5. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Instance Constructors

  1. new Perceptron(nClasses: Int)

    Permalink

Type Members

  1. type ClassToWeightLearner = Map[ClassNum, WeightLearner]

    Permalink

  2. type ClassVector = Vector[Score]

    Permalink

  3. type TimeStamp = Int

    Permalink

  4. case class WeightLearner(current: Int, total: Int, ts: TimeStamp) extends Product with Serializable

    Permalink

Value Members

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

    Permalink
    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

    Permalink
    Definition Classes
    AnyRef → Any

  3. final def ==(arg0: Any): Boolean

    Permalink
    Definition Classes
    AnyRef → Any

  4. final def asInstanceOf[T0]: T0

    Permalink
    Definition Classes
    Any

  5. def average(w: WeightLearner): Float

    Permalink

  6. def clone(): AnyRef

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

  7. def current(w: WeightLearner): Float

    Permalink

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

    Permalink
    Definition Classes
    AnyRef

  9. def equals(arg0: Any): Boolean

    Permalink
    Definition Classes
    AnyRef → Any

  10. def finalize(): Unit

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

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

    Permalink
    Definition Classes
    AnyRef → Any

  12. def hashCode(): Int

    Permalink
    Definition Classes
    AnyRef → Any

  13. final def isInstanceOf[T0]: Boolean

    Permalink
    Definition Classes
    Any

  14. val learning: Map[String, Map[String, ClassToWeightLearner]]

    Permalink

  15. def load(lines: Iterator[String]): Unit

    Permalink

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

    Permalink
    Definition Classes
    AnyRef

  17. final def notify(): Unit

    Permalink
    Definition Classes
    AnyRef

  18. final def notifyAll(): Unit

    Permalink
    Definition Classes
    AnyRef

  19. def predict(classnumVector: ClassVector): ClassNum

    Permalink

  20. def score(features: Map[Feature, Score], scoreMethod: (WeightLearner) ⇒ Float): ClassVector

    Permalink

  21. var seen: TimeStamp

    Permalink

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

    Permalink
    Definition Classes
    AnyRef

  23. def toString(): String

    Permalink
    Definition Classes
    Perceptron → AnyRef → Any

  24. def update(truth: ClassNum, guess: ClassNum, features: Iterable[Feature]): Unit

    Permalink

  25. final def wait(): Unit

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped