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io.citrine.lolo.trees.splits

ClassificationSplitter

object ClassificationSplitter

Find the best split for classification problems.

Created by maxhutch on 12/2/16.

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  9. def getBestCategoricalSplit(data: Seq[(Vector[AnyVal], Char, Double)], calculator: GiniCalculator, index: Int, minCount: Int): (CategoricalSplit, Double)
  10. def getBestRealSplit(data: Seq[(Vector[AnyVal], Char, Double)], calculator: GiniCalculator, index: Int, minCount: Int): (RealSplit, Double)

    Find the best split on a continuous variable

    Find the best split on a continuous variable

    data

    to split

    index

    of the feature to split on

    returns

    the best split of this feature

  11. def getBestSplit(data: Seq[(Vector[AnyVal], Char, Double)], numFeatures: Int, minInstances: Int): (Split, Double)

    Get the best split, considering numFeature random features (w/o replacement)

    Get the best split, considering numFeature random features (w/o replacement)

    data

    to split

    numFeatures

    to consider, randomly

    returns

    a split object that optimally divides data

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