object KdTreeComputation
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- type LeafSelection[CONTENT] = (Tree[CONTENT]) ⇒ Vector[Leaf[CONTENT]]
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- def dilate[CONTENT](evaluator: Evaluator[CONTENT], label: Lens[CONTENT, Boolean], testPoint: (CONTENT) ⇒ Vector[Double], neutralBoundary: NeutralBoundary)(t: NonEmptyTree[CONTENT], rng: Random)(implicit arg0: ClassTag[CONTENT]): NonEmptyTree[CONTENT]
- def dilate[CONTENT](evaluator: Evaluator[CONTENT], label: Lens[CONTENT, Boolean], testPoint: (CONTENT) ⇒ Vector[Double], neutralBoundary: NeutralBoundary, t: Tree[CONTENT], rng: Random)(implicit arg0: ClassTag[CONTENT]): Tree[CONTENT]
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- def erode[CONTENT](erosion: Erosion[CONTENT])(t: Tree[CONTENT], n: Int, rng: Random): Tree[CONTENT]
- def erosion[CONTENT](learnBoundary: LearnBoundary[CONTENT], evaluator: Evaluator[CONTENT], label: Lens[CONTENT, Boolean], leavesToErode: LeafSelection[CONTENT])(implicit arg0: ClassTag[CONTENT]): Erosion[CONTENT]
- def findTrueLabel[CONTENT](evaluator: Evaluator[CONTENT], label: (CONTENT) ⇒ Boolean, testPoint: (CONTENT) ⇒ Vector[Double])(implicit arg0: ClassTag[CONTENT]): FindTrueLabel[CONTENT]
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def
hashCode(): Int
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- def innerCriticalLeaves[CONTENT](label: (CONTENT) ⇒ Boolean): LeafSelection[CONTENT]
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final
def
isInstanceOf[T0]: Boolean
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- def learnBoundary[CONTENT](label: (CONTENT) ⇒ Boolean, testPoint: (CONTENT) ⇒ Vector[Double], neutralBoundary: NeutralBoundary)(implicit arg0: ClassTag[CONTENT]): LearnBoundary[CONTENT]
- def learnIntersection[T1, T2](t1: Tree[T1], t2: Tree[T2], label1: (T1) ⇒ Boolean, label2: (T2) ⇒ Boolean, rng: Random): Tree[OracleApproximationContent]
- def leavesOnBorderOfZone[CONTENT](borderZone: Zone, label: (CONTENT) ⇒ Boolean): LeafSelection[CONTENT]
- def leavesToErode[CONTENT](domain: Domain, zone: Zone, label: (CONTENT) ⇒ Boolean): LeafSelection[CONTENT]
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- def onBorderOfBlackBoxDomain[CONTENT](domain: Oracle)(leaf: Leaf[CONTENT]): Boolean
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