Expand description
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
- Negative
Binomial - Negative binomial distribution
- Noncentral
Chisquare - 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
- Standard
Cauchy - Standard Cauchy distribution with mode 0
- Standard
Exponential - Standard exponential distribution
- Standard
Gamma - 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