- Observations - Class in bham.leakiest
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This file contains the methods needed to turn a list of observations
in a conditional probability matrix and calculate the possible error.
- Observations() - Constructor for class bham.leakiest.Observations
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Constructs observations.
- observationsToJPMF(int[][]) - Static method in class bham.leakiest.Observations
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Returns the joint probability matrix of the observations
given a matrix of joint observed counts.
- observationsToPMF(int[]) - Static method in class bham.leakiest.Observations
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Returns the PMF array of the observations
given an array of observed counts.
- obsFromARFF(TreeSet<Integer>, TreeSet<Integer>) - Method in class bham.leakiest.ARFFFile
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Returns the observation for specified high and low features.
- outputDist(double[], double[][]) - Static method in class bham.leakiest.infotheory.InfoTheory
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Calculate the marginal output probability distribution
P_Y from a given input distribution inputDist and
a given channel matrix matrix.
- outputProb(int, double[], double[][]) - Static method in class bham.leakiest.infotheory.InfoTheory
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Finds the change of output elementIndex
using P_Y(y) = R(y) = QW(y) = Σ_x W(y|x)Q(x).