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S

sdtDevSampled(double[], double) - Static method in class bham.leakiest.Stats
Calculates the standard deviation for sampled data, using:
s = sqrt( (Sigma_i (x_i - x)^2) / (n-1) )
sdtDevSampled(double[]) - Static method in class bham.leakiest.Stats
Calculates the standard deviation for sampled data.
selectShuffled(double[]) - Method in class bham.leakiest.ContinuousData
Chooses half of observation data randomly, shuffles them and return them as an array.
setElement1(T1) - Method in class bham.leakiest.comparator.Pair
Sets the first element of the pair.
setElement2(T2) - Method in class bham.leakiest.comparator.Pair
Sets the second element of the pair.
setElements(T1, T2) - Method in class bham.leakiest.comparator.Pair
Sets elements of the pair.
setGroupForRow(int[]) - Method in class bham.leakiest.Channel
Sets groupForRow.
setGroupNames(String[]) - Method in class bham.leakiest.Channel
Sets the array of group names.
setInputNames(String[]) - Method in class bham.leakiest.Channel
Sets the array of input names.
setInputsPerRow(Vector[]) - Method in class bham.leakiest.Channel
Sets inputsPerRow.
setMatrix(double[][]) - Method in class bham.leakiest.Channel
Sets the channel matrix.
setOutputNames(String[]) - Method in class bham.leakiest.Channel
Sets the array of output names.
setRowsForGroup(Vector[]) - Method in class bham.leakiest.Channel
Sets rowsForGroup.
setTerminateWhenStabilised(boolean) - Method in class bham.leakiest.ARFFFile
Controls whether the obsFromARFF() method should terminate before it has finished reading all of the available samples, if the corrected leakage value stabilises.
setTerminateWhenStabilised(boolean) - Method in class bham.leakiest.ReadFile
Controls whether the readObservations() and read2DiscreteObservationsFiles() methods should terminate before they have finished reading all of the available samples, if the corrected leakage value stabilises.
setVerbose(int) - Method in class bham.leakiest.ContinuousData
Sets a verbose.
setVerbose(boolean) - Method in class bham.leakiest.infotheory.BlahutArimoto
Sets the value of verbose.
ShannonEntropy - Class in bham.leakiest.infotheory
This is a library of useful information theory definitions related to Shanon-entropy-based information measure.
ShannonEntropy() - Constructor for class bham.leakiest.infotheory.ShannonEntropy
 
sharedProbDist(int, boolean) - Method in class bham.leakiest.ProbDist
Returns the joint distribution of a shared input.
sizeSampleSpace() - Method in class bham.leakiest.ProbDist
Returns the size of the sample space.
State - Class in bham.leakiest
This class represents a state.
State() - Constructor for class bham.leakiest.State
Constructs the empty state.
State(String) - Constructor for class bham.leakiest.State
Constructs a state with the initial values.
State(String[], String[]) - Constructor for class bham.leakiest.State
Constructs a state with the initial values.
Stats - Class in bham.leakiest
This is the class that contains some general statistic methods.
Stats() - Constructor for class bham.leakiest.Stats
 
strAll(String) - Method in class bham.leakiest.State
Returns the whole state as string.
stringState() - Method in class bham.leakiest.State
Returns the string of the state.
stringValue(String) - Method in class bham.leakiest.State
Returns the name of the variable.
sumOfProbsRemoved(ProbDist) - Static method in class bham.leakiest.ApproxPrior
Returns the summation of all probabilities removed from the input distribution, by input approximation.
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