Index

_

__call__() (itergp.ConditionalGaussianProcess method) (itergp.GaussianProcess method) (itergp.linops.KernelMatrix method) (itergp.linops.LowRankMatrix method) (itergp.methods.belief_updates.ProjectedResidualBeliefUpdate method) (itergp.methods.policies.AdverserialPolicy method) (itergp.methods.policies.AutoPreconditionedGradientPolicy method) (itergp.methods.policies.ConjugateGradientPolicy method) (itergp.methods.policies.EigenvectorPolicy method) (itergp.methods.policies.GradientPolicy method) (itergp.methods.policies.MixedPolicy method) (itergp.methods.policies.PseudoInputPolicy method) (itergp.methods.policies.UnitVectorPolicy method) (itergp.methods.preconditioners.DiagonalPlusLowRank method) (itergp.methods.stopping_criteria.MaxIterationsStoppingCriterion method)

A

A_update() (itergp.methods.belief_updates.ProjectedResidualBeliefUpdate method) AdverserialPolicy (class in itergp.methods.policies) Ainv_update() (itergp.methods.belief_updates.ProjectedResidualBeliefUpdate method) astype() (itergp.linops.KernelMatrix method) (itergp.linops.LowRankMatrix method) (itergp.methods.preconditioners.DiagonalPlusLowRank method)

AutoPreconditionedConjugateGradient (class in itergp.methods) AutoPreconditionedGradientPolicy (class in itergp.methods.policies)

B

base_policy (itergp.methods.policies.AdverserialPolicy attribute) BikeSharing (class in itergp.datasets.uci) broadcast_matmat() (itergp.linops.KernelMatrix class method) (itergp.linops.LowRankMatrix class method) (itergp.methods.preconditioners.DiagonalPlusLowRank class method) broadcast_matvec() (itergp.linops.KernelMatrix class method) (itergp.linops.LowRankMatrix class method) (itergp.methods.preconditioners.DiagonalPlusLowRank class method)

broadcast_rmatmat() (itergp.linops.KernelMatrix class method) (itergp.linops.LowRankMatrix class method) (itergp.methods.preconditioners.DiagonalPlusLowRank class method) broadcast_rmatvec() (itergp.linops.KernelMatrix class method) (itergp.linops.LowRankMatrix class method) (itergp.methods.preconditioners.DiagonalPlusLowRank class method)

C

Cholesky (class in itergp.methods) cholesky() (itergp.linops.KernelMatrix method) (itergp.linops.LowRankMatrix method) (itergp.methods.preconditioners.DiagonalPlusLowRank method) computational_predictive (itergp.ConditionalGaussianProcess attribute) cond() (itergp.linops.KernelMatrix method) (itergp.linops.LowRankMatrix method) (itergp.methods.preconditioners.DiagonalPlusLowRank method)

condition_on_data() (itergp.ConditionalGaussianProcess method) (itergp.GaussianProcess method) ConditionalGaussianProcess (class in itergp) ConjugateGradient (class in itergp.methods) ConjugateGradientPolicy (class in itergp.methods.policies) cov (itergp.ConditionalGaussianProcess attribute) (itergp.GaussianProcess attribute)

D

Dataset (class in itergp.datasets) descending (itergp.methods.policies.EigenvectorPolicy attribute) det() (itergp.linops.KernelMatrix method) (itergp.linops.LowRankMatrix method) (itergp.methods.preconditioners.DiagonalPlusLowRank method) diag_comp (itergp.methods.preconditioners.DiagonalPlusLowRank attribute)

DiagonalPlusLowRank (class in itergp.methods.preconditioners) dtype (itergp.ConditionalGaussianProcess attribute) (itergp.GaussianProcess attribute) (itergp.linops.KernelMatrix attribute) (itergp.linops.LowRankMatrix attribute) (itergp.methods.preconditioners.DiagonalPlusLowRank attribute)

E

EigenvectorPolicy (class in itergp.methods.policies) eigvals() (itergp.linops.KernelMatrix method) (itergp.linops.LowRankMatrix method) (itergp.methods.preconditioners.DiagonalPlusLowRank method)

F

from_data() (itergp.ConditionalGaussianProcess class method) from_disk() (itergp.datasets.Dataset class method) (itergp.datasets.SyntheticDataset class method) (itergp.datasets.uci.BikeSharing class method) (itergp.datasets.uci.KEGGUndir class method) (itergp.datasets.uci.Parkinsons class method) (itergp.datasets.uci.Protein class method) (itergp.datasets.uci.RoadNetwork class method) (itergp.datasets.uci.UCIDataset class method)

from_kernel_matrix_linear_solve() (itergp.methods.preconditioners.DiagonalPlusLowRank class method) fun (itergp.datasets.SyntheticDataset attribute)

G

GaussianProcess (class in itergp)

GradientPolicy (class in itergp.methods.policies)

I

identical_factors (itergp.linops.LowRankMatrix attribute) input_ndim (itergp.ConditionalGaussianProcess attribute) (itergp.GaussianProcess attribute) input_shape (itergp.ConditionalGaussianProcess attribute) (itergp.datasets.Dataset attribute) (itergp.datasets.SyntheticDataset attribute) (itergp.datasets.uci.BikeSharing attribute) (itergp.datasets.uci.KEGGUndir attribute) (itergp.datasets.uci.Parkinsons attribute) (itergp.datasets.uci.Protein attribute) (itergp.datasets.uci.RoadNetwork attribute) (itergp.datasets.uci.UCIDataset attribute) (itergp.GaussianProcess attribute) inv() (itergp.linops.KernelMatrix method) (itergp.linops.LowRankMatrix method) (itergp.methods.preconditioners.DiagonalPlusLowRank method) is_lower_triangular (itergp.linops.KernelMatrix attribute) (itergp.linops.LowRankMatrix attribute) (itergp.methods.preconditioners.DiagonalPlusLowRank attribute) is_positive_definite (itergp.linops.KernelMatrix attribute) (itergp.linops.LowRankMatrix attribute) (itergp.methods.preconditioners.DiagonalPlusLowRank attribute) is_square (itergp.linops.KernelMatrix attribute) (itergp.linops.LowRankMatrix attribute) (itergp.methods.preconditioners.DiagonalPlusLowRank attribute) is_symmetric (itergp.linops.KernelMatrix attribute) (itergp.linops.LowRankMatrix attribute) (itergp.methods.preconditioners.DiagonalPlusLowRank attribute)

is_upper_triangular (itergp.linops.KernelMatrix attribute) (itergp.linops.LowRankMatrix attribute) (itergp.methods.preconditioners.DiagonalPlusLowRank attribute) itergp module itergp.datasets module itergp.datasets.uci module itergp.linops module itergp.methods module itergp.methods.belief_updates module itergp.methods.beliefs module itergp.methods.information_ops module itergp.methods.policies module itergp.methods.preconditioners module itergp.methods.stopping_criteria module

K

KEGGUndir (class in itergp.datasets.uci)

kernel (itergp.linops.KernelMatrix attribute) KernelMatrix (class in itergp.linops)

L

logabsdet() (itergp.linops.KernelMatrix method) (itergp.linops.LowRankMatrix method) (itergp.methods.preconditioners.DiagonalPlusLowRank method)

low_rank_comp (itergp.methods.preconditioners.DiagonalPlusLowRank attribute) LowRankMatrix (class in itergp.linops)

M

marginal() (itergp.ConditionalGaussianProcess method) (itergp.GaussianProcess method) maxiter (itergp.methods.stopping_criteria.MaxIterationsStoppingCriterion attribute) MaxIterationsStoppingCriterion (class in itergp.methods.stopping_criteria) mean (itergp.ConditionalGaussianProcess attribute) (itergp.GaussianProcess attribute) MixedPolicy (class in itergp.methods.policies) MixedStrategy (class in itergp.methods) module itergp itergp.datasets itergp.datasets.uci itergp.linops itergp.methods itergp.methods.belief_updates itergp.methods.beliefs itergp.methods.information_ops itergp.methods.policies itergp.methods.preconditioners itergp.methods.stopping_criteria

N

ndim (itergp.linops.KernelMatrix attribute) (itergp.linops.LowRankMatrix attribute) (itergp.methods.preconditioners.DiagonalPlusLowRank attribute)

O

ordering (itergp.methods.policies.UnitVectorPolicy attribute) output_ndim (itergp.ConditionalGaussianProcess attribute) (itergp.GaussianProcess attribute) output_shape (itergp.ConditionalGaussianProcess attribute) (itergp.datasets.Dataset attribute) (itergp.datasets.SyntheticDataset attribute) (itergp.datasets.uci.BikeSharing attribute) (itergp.datasets.uci.KEGGUndir attribute) (itergp.datasets.uci.Parkinsons attribute) (itergp.datasets.uci.Protein attribute) (itergp.datasets.uci.RoadNetwork attribute) (itergp.datasets.uci.UCIDataset attribute) (itergp.GaussianProcess attribute)

P

Parkinsons (class in itergp.datasets.uci) plot() (itergp.ConditionalGaussianProcess method) (itergp.GaussianProcess method) precond_inv (itergp.methods.policies.GradientPolicy attribute) predictive() (itergp.ConditionalGaussianProcess method) problem_size_factor (itergp.methods.stopping_criteria.MaxIterationsStoppingCriterion attribute) ProjectedBayesRegressor (class in itergp.methods)

ProjectedResidualBeliefUpdate (class in itergp.methods.belief_updates) Protein (class in itergp.datasets.uci) pseudo_inputs (itergp.methods.policies.PseudoInputPolicy attribute) (itergp.methods.PseudoInput attribute) PseudoInput (class in itergp.methods) PseudoInputPolicy (class in itergp.methods.policies) push_forward() (itergp.ConditionalGaussianProcess method) (itergp.GaussianProcess method)

R

rank() (itergp.linops.KernelMatrix method) (itergp.linops.LowRankMatrix method) (itergp.methods.preconditioners.DiagonalPlusLowRank method) resample() (itergp.datasets.Dataset method) (itergp.datasets.SyntheticDataset method) (itergp.datasets.uci.BikeSharing method) (itergp.datasets.uci.KEGGUndir method) (itergp.datasets.uci.Parkinsons method) (itergp.datasets.uci.Protein method) (itergp.datasets.uci.RoadNetwork method) (itergp.datasets.uci.UCIDataset method)

RoadNetwork (class in itergp.datasets.uci)

S

sample() (itergp.ConditionalGaussianProcess method) (itergp.GaussianProcess method) save() (itergp.datasets.Dataset method) (itergp.datasets.SyntheticDataset method) (itergp.datasets.uci.BikeSharing method) (itergp.datasets.uci.KEGGUndir method) (itergp.datasets.uci.Parkinsons method) (itergp.datasets.uci.Protein method) (itergp.datasets.uci.RoadNetwork method) (itergp.datasets.uci.UCIDataset method) shape (itergp.linops.KernelMatrix attribute) (itergp.linops.LowRankMatrix attribute) (itergp.methods.preconditioners.DiagonalPlusLowRank attribute) size (itergp.linops.KernelMatrix attribute) (itergp.linops.LowRankMatrix attribute) (itergp.methods.preconditioners.DiagonalPlusLowRank attribute) solve() (itergp.methods.AutoPreconditionedConjugateGradient method) (itergp.methods.Cholesky method) (itergp.methods.ConjugateGradient method) (itergp.methods.MixedStrategy method) (itergp.methods.ProjectedBayesRegressor method) (itergp.methods.PseudoInput method)

solve_iterator() (itergp.methods.AutoPreconditionedConjugateGradient method) (itergp.methods.Cholesky method) (itergp.methods.ConjugateGradient method) (itergp.methods.MixedStrategy method) (itergp.methods.ProjectedBayesRegressor method) (itergp.methods.PseudoInput method) std() (itergp.ConditionalGaussianProcess method) (itergp.GaussianProcess method) symmetrize() (itergp.linops.KernelMatrix method) (itergp.linops.LowRankMatrix method) (itergp.methods.preconditioners.DiagonalPlusLowRank method) SyntheticDataset (class in itergp.datasets)

T

T (itergp.linops.KernelMatrix attribute) (itergp.linops.LowRankMatrix attribute) (itergp.methods.preconditioners.DiagonalPlusLowRank attribute) test (itergp.datasets.Dataset attribute) (itergp.datasets.SyntheticDataset attribute) (itergp.datasets.uci.BikeSharing attribute) (itergp.datasets.uci.KEGGUndir attribute) (itergp.datasets.uci.Parkinsons attribute) (itergp.datasets.uci.Protein attribute) (itergp.datasets.uci.RoadNetwork attribute) (itergp.datasets.uci.UCIDataset attribute) todense() (itergp.linops.KernelMatrix method) (itergp.linops.LowRankMatrix method) (itergp.methods.preconditioners.DiagonalPlusLowRank method)

trace() (itergp.linops.KernelMatrix method) (itergp.linops.LowRankMatrix method) (itergp.methods.preconditioners.DiagonalPlusLowRank method) train (itergp.datasets.Dataset attribute) (itergp.datasets.SyntheticDataset attribute) (itergp.datasets.uci.BikeSharing attribute) (itergp.datasets.uci.KEGGUndir attribute) (itergp.datasets.uci.Parkinsons attribute) (itergp.datasets.uci.Protein attribute) (itergp.datasets.uci.RoadNetwork attribute) (itergp.datasets.uci.UCIDataset attribute) transpose() (itergp.linops.KernelMatrix method) (itergp.linops.LowRankMatrix method) (itergp.methods.preconditioners.DiagonalPlusLowRank method)

U

U (itergp.linops.LowRankMatrix attribute) UCIDataset (class in itergp.datasets.uci) UnitVectorPolicy (class in itergp.methods.policies) updated_linsys_belief() (itergp.methods.belief_updates.ProjectedResidualBeliefUpdate method)

URL (itergp.datasets.uci.BikeSharing attribute) (itergp.datasets.uci.KEGGUndir attribute) (itergp.datasets.uci.Parkinsons attribute) (itergp.datasets.uci.Protein attribute) (itergp.datasets.uci.RoadNetwork attribute)

V

V (itergp.linops.LowRankMatrix attribute)

var() (itergp.ConditionalGaussianProcess method) (itergp.GaussianProcess method)

X

x0 (itergp.linops.KernelMatrix attribute)

x1 (itergp.linops.KernelMatrix attribute)