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 |
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 |