com.cra.figaro.algorithm.decision

DecisionPolicy

object DecisionPolicy

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  4. def UWMAX[U](nn: List[(Double, U, DecisionSample)]): (U, Double)

    Computes the maximal decision from a set of (decision, utility) samples, returned from a nearest neighbor algorithm.

    Computes the maximal decision from a set of (decision, utility) samples, returned from a nearest neighbor algorithm. It is unweighted because the samples are NOT weighted by their distance from the parent value.

  5. def WMAX[U](nn: List[(Double, U, DecisionSample)]): (U, Double)

    Computes the maximal decision from a set of (decision, utility) samples, returned from the nearest neighbor algorithm.

    Computes the maximal decision from a set of (decision, utility) samples, returned from the nearest neighbor algorithm. This method IS weighted. Samples who's parent value closer to the query parent value are weighted more when computing the expected value.

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