cc.factorie.app.classify

DecisionTreeClassifier

class DecisionTreeClassifier[L <: DiscreteVar, F <: VectorVar] extends VectorClassifier[L, F]

Linear Supertypes
VectorClassifier[L, F], MulticlassClassifier[la.Tensor1], backend.Classifier[la.Tensor1, la.Tensor1], Predictor[la.Tensor1, la.Tensor1], Classifier[L], AnyRef, Any
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Inherited
  1. DecisionTreeClassifier
  2. VectorClassifier
  3. MulticlassClassifier
  4. Classifier
  5. Predictor
  6. Classifier
  7. AnyRef
  8. Any
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Instance Constructors

  1. new DecisionTreeClassifier(tree: DTree, labelToFeatures: (L) ⇒ F)

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 accuracy(labels: Iterable[L with LabeledDiscreteVar]): Double

    Definition Classes
    Classifier

  7. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  8. def asTemplate[Value <: DiscreteValue, T <: LabeledMutableDiscreteVar, F <: variable.Var { type Value = cc.factorie.la.Tensor1 }](l2f: (T) ⇒ F)(implicit ml: Manifest[T], mf: Manifest[F]): ClassifierTemplate[la.Tensor1, Value, T, F]

    Definition Classes
    MulticlassClassifier

  9. def bestLabelIndex(v: L): Int

    Definition Classes
    Classifier

  10. def classification(label: L): Classification[L]

    Definition Classes
    DecisionTreeClassifier → Classifier

  11. def classification(input: la.Tensor1): MulticlassClassification

    Definition Classes
    MulticlassClassifier → Classifier

  12. def classifications(labels: Iterable[L]): Seq[Classification[L]]

    Definition Classes
    Classifier

  13. def classify(labels: Iterable[L with MutableDiscreteVar]): Seq[Classification[L]]

    Definition Classes
    Classifier

  14. def classify[L2 <: L with MutableDiscreteVar](v: L2): Classification[L]

    Definition Classes
    Classifier

  15. def clone(): AnyRef

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

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

    Definition Classes
    AnyRef

  17. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  18. def finalize(): Unit

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

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

    Definition Classes
    AnyRef → Any

  20. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  21. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  22. val labelToFeatures: (L) ⇒ F

    Definition Classes
    DecisionTreeClassifier → VectorClassifier

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

    Definition Classes
    AnyRef

  24. final def notify(): Unit

    Definition Classes
    AnyRef

  25. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  26. def predict(features: la.Tensor1): la.Tensor1

    Definition Classes
    DecisionTreeClassifier → Predictor

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

    Definition Classes
    AnyRef

  28. def toString(): String

    Definition Classes
    AnyRef → Any

  29. val tree: DTree

  30. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from VectorClassifier[L, F]

Inherited from MulticlassClassifier[la.Tensor1]

Inherited from backend.Classifier[la.Tensor1, la.Tensor1]

Inherited from Predictor[la.Tensor1, la.Tensor1]

Inherited from Classifier[L]

Inherited from AnyRef

Inherited from Any

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