sparse

Documentation

Index

• func ConditionalMutualInformation(xyz [][]int, ln lnFunc) []float64
• func ConditionalMutualInformationBase2(xyz [][]int) []float64
• func ConditionalMutualInformationBaseE(xyz [][]int) []float64
• func MutualInformation(data [][]int, log lnFunc) []float64
• func MutualInformationBase2(data [][]int) []float64
• func MutualInformationBaseE(data [][]int) []float64

Functions

func ConditionalMutualInformation

func ConditionalMutualInformation(xyz [][]int, ln lnFunc) []float64

ConditionalMutualInformation calculates the conditional mutual information with the given lnFunc function for each (x_t,y_t,z_t)

I(X_t,Y_t|Z_t) = (lnFunc(p(x,y|z)) - lnFunc(p(x|z)p(y|z)))

func ConditionalMutualInformationBase2

func ConditionalMutualInformationBase2(xyz [][]int) []float64

ConditionalMutualInformationBase2 calculates the conditional mutual information with base 2

I(X,Y|Z) = \sum_x,y, p(x,y,z) (log2(p(x,y|z)) - log2(p(x|z)p(y|z)))

func ConditionalMutualInformationBaseE

func ConditionalMutualInformationBaseE(xyz [][]int) []float64

ConditionalMutualInformationBaseE calculates the conditional mutual information with base e

I(X,Y|Z) = \sum_x,y, p(x,y,z) (ln(p(x,y|z)) - ln(p(x|z)p(y|z)))

func MutualInformation

func MutualInformation(data [][]int, log lnFunc) []float64

MutualInformation calculates the mutual information for each state with the given lnFunc function

I(X,Y) = \sum_x,y p(x,y) (lnFunc(p(x,y)) - lnFunc(p(x)p(y)))

func MutualInformationBase2

func MutualInformationBase2(data [][]int) []float64

MutualInformationBase2 calculates the mutual information with for each state with base 2

I(X,Y) = \sum_x,y p(x,y) (log2(p(x,y)) - log2(p(x)p(y)))

func MutualInformationBaseE

func MutualInformationBaseE(data [][]int) []float64

MutualInformationBaseE calculates the mutual information for each state with base e

I(X,Y) = \sum_x,y p(x,y) (ln(p(x,y)) - ln(p(x)p(y)))