Module randomkit::dist [] [src]

Various distributions that can be sampled from.

Many of these are undocumented, so refer to the Numpy documentation for their behavior.

Structs

Beta

Beta distribution over [0,1]

Binomial

Binomial distribution

Chisquare

Chi-square distribution

Dirichlet

Dirichlet distribution

Exponential

Exponential distribution

F

F distribution

Gamma

Gamma distribution

Gauss

Standard normal (standard Gaussian) distribution (aka randn)

Geometric

Geometric distribution

Gumbel

Gumbel distribution

Hypergeometric

Hypergeometric distribution

Laplace

Laplace (double exponential) distribution

Logistic

Logistic distribution

Lognormal

Log-normal distribution

Logseries

Logarithmic series distribution

Multinomial

Multinomial distribution

NegativeBinomial

Negative binomial distribution

NoncentralChisquare

Noncentral chi-square distribution

NoncentralF

Noncentral F distribution

Normal

Normal (Gaussian) distribution

Pareto

Pareto II (Lomax) distribution

Poisson

Poisson distribution

Power

Power distribution on [0,1] with positive exponent a - 1

Rand

Uniform distribution on [0,1)

Randint

Uniform distribution of integers on [low,high)

Rayleigh

Rayleigh distribution

StandardCauchy

Standard Cauchy distribution with mode 0

StandardExponential

Standard exponential distribution

StandardGamma

Standard gamma distribution

StandardT

Standard student's T distribution

Triangular

Triangular distribution

Uniform

Uniform distribution

Vonmises

von Mises distribution

Wald

Wald (inverse Gaussian) distribution

Weibull

Weibull distribution

Zipf

Zipf distribution