RegressionTreeTrainer

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

   TensorSumSqDiagStatsAndLabels → DTreeBucketStats

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

   Definition Classes

   TensorSumSqDiagStatsAndLabels → DTreeBucketStats

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

   Definition Classes

   AnyRef

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

   Definition Classes

   Any

8. def RMSE(node: DTree, stats: Seq[Instance]): Double

   Definition Classes

   RMSEBasedPruning

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

   Definition Classes

   TensorSumSqDiagStatsAndLabels → DTreeBucketStats

10. final def asInstanceOf[T0]: T0

    Definition Classes

    Any

11. def clone(): AnyRef

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

13. def equals(arg0: Any): Boolean

    Definition Classes

    AnyRef → Any

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

    Definition Classes

    DiagonalCovarianceSplitting

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

    DiagonalCovarianceSplitting

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

    Definition Classes

    TensorSumSqDiagStatsAndLabels → DTreeBucketStats

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

    Definition Classes

    AnyRef → Any

21. def getEmptyBucketStats(inst: Instance): BucketStats

    Definition Classes

    TensorSumSqDiagStatsAndLabels → DTreeBucketStats

22. def getPrediction(stats: BucketStats): Label

    Definition Classes

    TensorSumSqDiagStatsAndLabels → DTreeBucketStats

23. def getStdDev(stats: BucketStats): Double

    Definition Classes

    DiagonalCovarianceSplitting

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): la.Tensor1

    Definition Classes

    RMSEBasedPruning

28. def makeLeaf(stats: BucketStats): DTree

    Definition Classes

    TensorSumSqDiagStatsAndLabels → DTreeBucketStats

29. var maxDepth: Int

    Definition Classes

    DecisionTreeTrainer

30. var minSampleSize: Int

    Definition Classes

    RegressionTreeTrainer → 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

    RMSEBasedPruning

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

    Definition Classes

    DiagonalCovarianceSplitting

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( ... )