cc.factorie.app.classify.backend

DecisionStumpTrainer

class DecisionStumpTrainer extends DecisionTreeTrainer with TensorSumStatsAndLabels with GainRatioSplitting with SampleSizeStopping with NoPruning

Linear Supertypes
NoPruning, SampleSizeStopping, GainRatioSplitting, TensorSumStatsAndLabels, DTreeBucketStats, DecisionTreeTrainer, AnyRef, Any
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Inherited
  1. DecisionStumpTrainer
  2. NoPruning
  3. SampleSizeStopping
  4. GainRatioSplitting
  5. TensorSumStatsAndLabels
  6. DTreeBucketStats
  7. DecisionTreeTrainer
  8. AnyRef
  9. Any
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Visibility
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Instance Constructors

  1. new DecisionStumpTrainer()

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 evaluateSplittingCriteria(baseEntropy: Double, withFeature: MutableBucketStats, withoutFeature: MutableBucketStats): Double

    Definition Classes
    GainRatioSplitting

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

    Definition Classes
    DecisionTreeTrainer

  15. def finalize(): Unit

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

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

    Definition Classes
    DecisionTreeTrainer

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

    Definition Classes
    GainRatioSplitting

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

    Definition Classes
    TensorSumStatsAndLabels → DTreeBucketStats

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

    Definition Classes
    AnyRef → Any

  20. def getEmptyBucketStats(inst: Instance): BucketStats

    Definition Classes
    TensorSumStatsAndLabels → DTreeBucketStats

  21. def getEntropy(stats: BucketStats): Double

    Definition Classes
    GainRatioSplitting

  22. def getPrediction(stats: BucketStats): Label

    Definition Classes
    TensorSumStatsAndLabels → DTreeBucketStats

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

    Definition Classes
    DecisionTreeTrainer
    Annotations
    @inline()

  24. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  25. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  26. def makeLeaf(stats: BucketStats): DTree

    Definition Classes
    TensorSumStatsAndLabels → DTreeBucketStats

  27. var maxDepth: Int

    Definition Classes
    DecisionTreeTrainer

  28. val minSampleSize: Int

    Definition Classes
    DecisionStumpTrainer → SampleSizeStopping

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

    Definition Classes
    AnyRef

  30. final def notify(): Unit

    Definition Classes
    AnyRef

  31. final def notifyAll(): Unit

    Definition Classes
    AnyRef

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

    Definition Classes
    NoPruning

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

    Definition Classes
    GainRatioSplitting

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

    Definition Classes
    SampleSizeStopping

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

    Definition Classes
    AnyRef

  36. def toString(): String

    Definition Classes
    AnyRef → Any

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

    Definition Classes
    DecisionTreeTrainer

  38. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from NoPruning

Inherited from SampleSizeStopping

Inherited from GainRatioSplitting

Inherited from TensorSumStatsAndLabels

Inherited from DTreeBucketStats

Inherited from DecisionTreeTrainer

Inherited from AnyRef

Inherited from Any

Ungrouped