cc.factorie.app.classify.backend

C45DecisionTreeTrainer

class C45DecisionTreeTrainer extends DecisionTreeTrainer with TensorSumStatsAndLabels with GainRatioSplitting with SampleSizeStopping with AccuracyBasedPruning

Linear Supertypes
AccuracyBasedPruning, SampleSizeStopping, GainRatioSplitting, TensorSumStatsAndLabels, DTreeBucketStats, DecisionTreeTrainer, AnyRef, Any
Ordering
  1. Alphabetic
  2. By inheritance
Inherited
  1. C45DecisionTreeTrainer
  2. AccuracyBasedPruning
  3. SampleSizeStopping
  4. GainRatioSplitting
  5. TensorSumStatsAndLabels
  6. DTreeBucketStats
  7. DecisionTreeTrainer
  8. AnyRef
  9. Any
  1. Hide All
  2. Show all
Learn more about member selection
Visibility
  1. Public
  2. All

Instance Constructors

  1. new C45DecisionTreeTrainer()

Type Members

  1. type BucketStats = MutableBucketStats

    Definition Classes
    TensorSumStatsAndLabels → DTreeBucketStats

  2. type Instance = DecisionTreeTrainer.Instance

    Definition Classes
    DTreeBucketStats

  3. type Label = la.Tensor1

    Definition Classes
    DTreeBucketStats

  4. class MutableBucketStats extends AnyRef

    Definition Classes
    TensorSumStatsAndLabels

  5. type State = Double

    Definition Classes
    GainRatioSplitting

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. def +=(left: BucketStats, right: BucketStats): Unit

    Definition Classes
    TensorSumStatsAndLabels → DTreeBucketStats

  5. def -=(left: BucketStats, right: BucketStats): Unit

    Definition Classes
    TensorSumStatsAndLabels → DTreeBucketStats

  6. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  8. def accumulate(stats: BucketStats, inst: Instance): Unit

    Definition Classes
    TensorSumStatsAndLabels → DTreeBucketStats

  9. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  10. def clone(): AnyRef

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

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

    Definition Classes
    AnyRef

  12. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  13. def errorPct(node: DTree, stats: Seq[Instance]): Double

    Definition Classes
    AccuracyBasedPruning

  14. def evaluateSplittingCriteria(baseEntropy: Double, withFeature: MutableBucketStats, withoutFeature: MutableBucketStats): Double

    Definition Classes
    GainRatioSplitting

  15. def evaluateSplittingCriteria(instances: Seq[Instance], possibleFeatureThresholds: HashMap[Int, Array[Double]]): HashMap[Int, Array[Double]]

    Definition Classes
    DecisionTreeTrainer

  16. def finalize(): Unit

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

  17. def getBucketPrediction(labels: Seq[Instance]): Label

    Definition Classes
    DecisionTreeTrainer

  18. def getBucketState(instances: Iterable[Instance]): Double

    Definition Classes
    GainRatioSplitting

  19. def getBucketStats(labels: Iterable[Instance]): BucketStats

    Definition Classes
    TensorSumStatsAndLabels → DTreeBucketStats

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

    Definition Classes
    AnyRef → Any

  21. def getEmptyBucketStats(inst: Instance): BucketStats

    Definition Classes
    TensorSumStatsAndLabels → DTreeBucketStats

  22. def getEntropy(stats: BucketStats): Double

    Definition Classes
    GainRatioSplitting

  23. def getPrediction(stats: BucketStats): Label

    Definition Classes
    TensorSumStatsAndLabels → DTreeBucketStats

  24. def hasFeature(featureIdx: Int, feats: la.Tensor1, threshold: Double): Boolean

    Definition Classes
    DecisionTreeTrainer
    Annotations
    @inline()

  25. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  26. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  27. def label(feats: la.Tensor1, node: DTree): Int

    Definition Classes
    AccuracyBasedPruning

  28. def makeLeaf(stats: BucketStats): DTree

    Definition Classes
    TensorSumStatsAndLabels → DTreeBucketStats

  29. var maxDepth: Int

    Definition Classes
    DecisionTreeTrainer

  30. val minSampleSize: Int

    Definition Classes
    C45DecisionTreeTrainer → SampleSizeStopping

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

    Definition Classes
    AnyRef

  32. final def notify(): Unit

    Definition Classes
    AnyRef

  33. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  34. def prune(tree: DTree, pruningSet: Seq[Instance]): DTree

    Definition Classes
    AccuracyBasedPruning

  35. def samePred(labels: Seq[Label]): Boolean

    Definition Classes
    GainRatioSplitting

  36. def shouldStop(stats: Seq[Instance], depth: Int): Boolean

    Definition Classes
    SampleSizeStopping

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

    Definition Classes
    AnyRef

  38. def toString(): String

    Definition Classes
    AnyRef → Any

  39. def train(trainInstances: Seq[Instance], pruneInstances: Seq[Instance] = Nil, numFeaturesToUse: Int = 1)(implicit rng: Random): DTree

    Definition Classes
    DecisionTreeTrainer

  40. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from AccuracyBasedPruning

Inherited from SampleSizeStopping

Inherited from GainRatioSplitting

Inherited from TensorSumStatsAndLabels

Inherited from DTreeBucketStats

Inherited from DecisionTreeTrainer

Inherited from AnyRef

Inherited from Any

Ungrouped