Random Sampling

Sample random data

mars.tensor.random.rand	Random values in a given shape.
mars.tensor.random.randn	Return a sample (or samples) from the "standard normal" distribution.
mars.tensor.random.randint	Return random integers from low (inclusive) to high (exclusive).
mars.tensor.random.random_integers	Random integers of type mt.int between low and high, inclusive.
mars.tensor.random.random_sample	Return random floats in the half-open interval [0.0, 1.0).
mars.tensor.random.random	Return random floats in the half-open interval [0.0, 1.0).
mars.tensor.random.ranf	Return random floats in the half-open interval [0.0, 1.0).
mars.tensor.random.sample	Return random floats in the half-open interval [0.0, 1.0).
mars.tensor.random.choice	Generates a random sample from a given 1-D array
mars.tensor.random.bytes	Return random bytes.

Distributions

mars.tensor.random.beta	Draw samples from a Beta distribution.
mars.tensor.random.binomial	Draw samples from a binomial distribution.
mars.tensor.random.chisquare	Draw samples from a chi-square distribution.
mars.tensor.random.dirichlet	Draw samples from the Dirichlet distribution.
mars.tensor.random.exponential	Draw samples from an exponential distribution.
mars.tensor.random.f	Draw samples from an F distribution.
mars.tensor.random.gamma	Draw samples from a Gamma distribution.
mars.tensor.random.geometric	Draw samples from the geometric distribution.
mars.tensor.random.gumbel	Draw samples from a Gumbel distribution.
mars.tensor.random.hypergeometric	Draw samples from a Hypergeometric distribution.
mars.tensor.random.laplace	Draw samples from the Laplace or double exponential distribution with specified location (or mean) and scale (decay).
mars.tensor.random.lognormal	Draw samples from a log-normal distribution.
mars.tensor.random.logseries	Draw samples from a logarithmic series distribution.
mars.tensor.random.multinomial	Draw samples from a multinomial distribution.
mars.tensor.random.multivariate_normal	Draw random samples from a multivariate normal distribution.
mars.tensor.random.negative_binomial	Draw samples from a negative binomial distribution.
mars.tensor.random.noncentral_chisquare	Draw samples from a noncentral chi-square distribution.
mars.tensor.random.noncentral_f	Draw samples from the noncentral F distribution.
mars.tensor.random.normal	Draw random samples from a normal (Gaussian) distribution.
mars.tensor.random.pareto	Draw samples from a Pareto II or Lomax distribution with specified shape.
mars.tensor.random.poisson	Draw samples from a Poisson distribution.
mars.tensor.random.power	Draws samples in [0, 1] from a power distribution with positive exponent a - 1.
mars.tensor.random.rayleigh	Draw samples from a Rayleigh distribution.
mars.tensor.random.standard_cauchy	Draw samples from a standard Cauchy distribution with mode = 0.
mars.tensor.random.standard_exponential	Draw samples from the standard exponential distribution.
mars.tensor.random.standard_gamma	Draw samples from a standard Gamma distribution.
mars.tensor.random.standard_normal	Draw samples from a standard Normal distribution (mean=0, stdev=1).
mars.tensor.random.standard_t	Draw samples from a standard Student's t distribution with df degrees of freedom.
mars.tensor.random.triangular	Draw samples from the triangular distribution over the interval [left, right].
mars.tensor.random.uniform	Draw samples from a uniform distribution.
mars.tensor.random.vonmises	Draw samples from a von Mises distribution.
mars.tensor.random.wald	Draw samples from a Wald, or inverse Gaussian, distribution.
mars.tensor.random.weibull	Draw samples from a Weibull distribution.
mars.tensor.random.zipf	Draw samples from a Zipf distribution.

Random number generator

mars.tensor.random.seed	Seed the generator.
mars.tensor.random.RandomState