Index

_

__init__() (revrand.basis_functions.Basis method) (revrand.basis_functions.BiasBasis method) (revrand.basis_functions.FastFoodGM method) (revrand.basis_functions.FastFoodRBF method) (revrand.basis_functions.LinearBasis method) (revrand.basis_functions.OrthogonalRBF method) (revrand.basis_functions.PolynomialBasis method) (revrand.basis_functions.RadialBasis method) (revrand.basis_functions.RandomCauchy method) (revrand.basis_functions.RandomLaplace method) (revrand.basis_functions.RandomMatern32 method) (revrand.basis_functions.RandomMatern52 method) (revrand.basis_functions.RandomRBF method) (revrand.basis_functions.SigmoidalBasis method) (revrand.likelihoods.Bernoulli method) (revrand.likelihoods.Binomial method) (revrand.likelihoods.Gaussian method) (revrand.likelihoods.Poisson method)

A

AdaDelta (class in revrand.optimize.sgd) AdaGrad (class in revrand.optimize.sgd)

Adam (class in revrand.optimize.sgd) atleast_list() (in module revrand.utils.base) atleast_tuple() (in module revrand.utils.base)

B

Basis (class in revrand.basis_functions) Bernoulli (class in revrand.likelihoods) BiasBasis (class in revrand.basis_functions)

Binomial (class in revrand.likelihoods) Bound (class in revrand.btypes) bound (revrand.btypes.Parameter attribute) Bunch (class in revrand.utils.base)

C

cho_log_det() (in module revrand.mathfun.linalg)

couple() (in module revrand.utils.base)

D

decouple() (in module revrand.utils.base)

E

endless_permutations() (in module revrand.utils.rand)

F

FastFoodGM (class in revrand.basis_functions) FastFoodRBF (class in revrand.basis_functions) fetch_gpml_sarcos_data() (in module revrand.utils.datasets) fetch_gpml_usps_resampled_data() (in module revrand.utils.datasets) fit() (revrand.glm.GeneralizedLinearModel method) (revrand.slm.StandardLinearModel method)

flatten() (in module revrand.utils.base) flatten_args() (in module revrand.optimize.decorators) (in module revrand.utils.decorators) flatten_func_grad() (in module revrand.optimize.decorators) flatten_grad() (in module revrand.optimize.decorators)

G

Gaussian (class in revrand.likelihoods) gen_batch() (in module revrand.optimize.sgd)

gen_gausprocess_se() (in module revrand.utils.datasets) GeneralizedLinearModel (class in revrand.glm) get_data_home() (in module revrand.utils.datasets)

H

hadamard() (in module revrand.mathfun.linalg)

has_value (revrand.btypes.Parameter attribute) hstack() (in module revrand.btypes)

I

is_random (revrand.btypes.Parameter attribute)

is_scalar (revrand.btypes.Parameter attribute) issequence() (in module revrand.utils.base)

L

LinearBasis (class in revrand.basis_functions) lins_ccc() (in module revrand.metrics) logsumexp() (in module revrand.mathfun.special)

logtrick_minimizer() (in module revrand.optimize.decorators) logtrick_sgd() (in module revrand.optimize.decorators) lower (revrand.btypes.Bound attribute)

M

make_polynomial() (in module revrand.utils.datasets) make_regression() (in module revrand.utils.datasets) map_indices() (in module revrand.utils.base) map_recursive() (in module revrand.utils.base)

Memoize (class in revrand.utils.decorators) mll() (in module revrand.metrics) Momentum (class in revrand.optimize.sgd) msll() (in module revrand.metrics)

N

normalize_bound() (in module revrand.optimize.sgd)

nwise() (in module revrand.utils.base)

O

OrderedMemoize (class in revrand.utils.decorators)

OrthogonalRBF (class in revrand.basis_functions)

P

Parameter (class in revrand.btypes) Poisson (class in revrand.likelihoods) PolynomialBasis (class in revrand.basis_functions) Positive (class in revrand.btypes) predict() (revrand.glm.GeneralizedLinearModel method) (revrand.slm.StandardLinearModel method)

predict_cdf() (revrand.glm.GeneralizedLinearModel method) predict_interval() (revrand.glm.GeneralizedLinearModel method) predict_logpdf() (revrand.glm.GeneralizedLinearModel method) predict_moments() (revrand.glm.GeneralizedLinearModel method) (revrand.slm.StandardLinearModel method)

R

RadialBasis (class in revrand.basis_functions) RandomCauchy (class in revrand.basis_functions) RandomLaplace (class in revrand.basis_functions) RandomMatern32 (class in revrand.basis_functions) RandomMatern52 (class in revrand.basis_functions) RandomRBF (class in revrand.basis_functions) ravel() (in module revrand.btypes) reset() (revrand.optimize.sgd.AdaDelta method) (revrand.optimize.sgd.AdaGrad method) (revrand.optimize.sgd.Adam method) (revrand.optimize.sgd.Momentum method) (revrand.optimize.sgd.SGDUpdater method)

revrand.btypes (module) revrand.glm (module) revrand.mathfun.linalg (module) revrand.mathfun.special (module) revrand.metrics (module) revrand.optimize.decorators (module) revrand.optimize.sgd (module) revrand.slm (module) revrand.utils.base (module) revrand.utils.datasets (module) revrand.utils.decorators (module) revrand.utils.rand (module) rvs() (revrand.btypes.Parameter method)

S

scalar_reshape() (in module revrand.utils.base) sgd() (in module revrand.optimize.sgd) SGDUpdater (class in revrand.optimize.sgd) shape (revrand.btypes.Parameter attribute) shape() (in module revrand.btypes) SigmoidalBasis (class in revrand.basis_functions) smse() (in module revrand.metrics) softmax() (in module revrand.mathfun.special)

softplus() (in module revrand.mathfun.special) solve_posdef() (in module revrand.mathfun.linalg) StandardLinearModel (class in revrand.slm) structured_minimizer() (in module revrand.optimize.decorators) structured_sgd() (in module revrand.optimize.decorators) sumprod() (in module revrand.utils.base) svd_log_det() (in module revrand.mathfun.linalg) svd_solve() (in module revrand.mathfun.linalg)

U

unflatten() (in module revrand.utils.base)

unvectorize_args() (in module revrand.utils.decorators) upper (revrand.btypes.Bound attribute)

V

value (revrand.btypes.Parameter attribute)

vectorize_args() (in module revrand.utils.decorators)