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
mars.tensor.random.ranf
mars.tensor.random.sample
mars.tensor.random.choice
Generates a random sample from a given 1-D array
mars.tensor.random.bytes
Return random bytes.
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].
[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.
mars.tensor.random.seed
Seed the generator.
mars.tensor.random.RandomState