A well tested and comprehensive Golang statistics library package with no dependencies.
Entropy
function (aff88e33df74c3c6ef693c2fbefa10ea5c6f8adc)func Entropy(input Float64Data) (float64, error) {}
StableSample
function (ce31985b3920588edaffc28439e43c4fa505ecc6)func StableSample(input Float64Data, takenum int) ([]float64, error) {}
func NormBoxMullerRvs(loc float64, scale float64, size int) []float64 {}
func NormCdf(x float64, loc float64, scale float64) float64 {}
func NormEntropy(loc float64, scale float64) float64 {}
func NormFit(data []float64) [2]float64{}
func NormInterval(alpha float64, loc float64, scale float64 ) [2]float64 {}
func NormIsf(p float64, loc float64, scale float64) (x float64) {}
func NormLogCdf(x float64, loc float64, scale float64) float64 {}
func NormLogPdf(x float64, loc float64, scale float64) float64 {}
func NormLogSf(x float64, loc float64, scale float64) float64 {}
func NormMean(loc float64, scale float64) float64 {}
func NormMedian(loc float64, scale float64) float64 {}
func NormMoment(n int, loc float64, scale float64) float64 {}
func NormPdf(x float64, loc float64, scale float64) float64 {}
func NormPpf(p float64, loc float64, scale float64) (x float64) {}
func NormPpfRvs(loc float64, scale float64, size int) []float64 {}
func NormSf(x float64, loc float64, scale float64) float64 {}
func NormStats(loc float64, scale float64, moments string) []float64 {}
func NormStd(loc float64, scale float64) float64 {}
func NormVar(loc float64, scale float64) float64 {}
Sigmoid
and SoftMax
functions (63fbb2597b7a13043b453a4b819945badb8f8926)func Sigmoid(input Float64Data) ([]float64, error) {}
func SoftMax(input Float64Data) ([]float64, error) {}