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Types & classes42 in github.com/al-jshen/compute

⨍ Functions 442◇ Types & classes 42

src/timeseries/autoregressive.rs:8

src/optimize/adam.rs:39

src/linalg/rotations.rs:4

src/distributions/bernoulli.rs:6

src/distributions/beta.rs:6

src/distributions/binomial.rs:7

src/linalg/array/broadcast.rs:4

ClassChiSquared

src/distributions/chi_squared.rs:6

InterfaceContinuous

Provides a trait for interacting with continuous probability distributions.

src/distributions/mod.rs:74

InterfaceDiscrete

Provides a trait for interacting with discrete probability distributions.

src/distributions/mod.rs:85

ClassDiscreteUniform

src/distributions/discreteuniform.rs:5

InterfaceDistribution

The primary trait defining a probability distribution.

src/distributions/mod.rs:23

InterfaceDistribution1D

A trait defining a one dimensional distribution.

src/distributions/mod.rs:30

InterfaceDistributionND

A trait defining a multidimensional probability distribution.

src/distributions/mod.rs:45

A trait for performing matrix products. Follows the behaviour of numpy's `matmul`. If multiplying two matrices, performs conventional matrix multipli

src/linalg/array/dot.rs:13

ClassExponential

src/distributions/exponential.rs:6

EnumExponentialFamily

src/predict/glms/families.rs:8

EnumExtrapolationMode

src/functions/interpolate.rs:3

src/predict/glms/formula.rs:4

src/predict/glms/glm.rs:12

src/distributions/gamma.rs:6

src/distributions/gumbel.rs:8

InterfaceKernel

src/predict/gps/kernels.rs:6

src/optimize/lbfgs.rs:2

src/optimize/lm.rs:51

src/distributions/multivariatenormal.rs:8

src/linalg/array/matrix.rs:19

Provides a trait for computing the mean of a distribution where there is a closed-form expression.

src/distributions/mod.rs:60

src/distributions/normal.rs:8

InterfaceOptimizer

src/optimize/mod.rs:8

InterfaceOptimizer

src/optimize/optimizers/mod.rs:10

src/distributions/pareto.rs:5

src/distributions/poisson.rs:7

ClassPolynomialRegressor

src/predict/polynomial.rs:8

The [radial basis function kernel](https://en.wikipedia.org/wiki/Radial_basis_function_kernel). Also called the squared exponential kernel.

src/predict/gps/kernels.rs:12

ClassRationalQuadraticKernel

The [rational quadratic kernel](https://en.wikipedia.org/wiki/Rational_quadratic_covariance_function).

src/predict/gps/kernels.rs:32

src/optimize/sgd.rs:38

src/linalg/array/matrix.rs:504

src/distributions/t.rs:6

src/distributions/uniform.rs:6

InterfaceVariance

Provides a trait for computing the variance of a distribution where there is a closed-form solution.

src/distributions/mod.rs:68

src/linalg/array/vec.rs:14