Index

_

_() (in module gpflow.kullback_leiblers) _dense_conditional() (in module gpflow.conditionals.conditionals) _get_posterior_base_case() (in module gpflow.posteriors) _get_posterior_fully_correlated_mo() (in module gpflow.posteriors) _get_posterior_independent_mo() (in module gpflow.posteriors), [1], [2], [3]

_get_posterior_independentlatent_mo_fallback() (in module gpflow.posteriors), [1] _get_posterior_linearcoregionalization_mo_efficient() (in module gpflow.posteriors), [1] _sample_conditional() (in module gpflow.conditionals.multioutput.sample_conditionals) (in module gpflow.conditionals.sample_conditionals), [1] _sparse_conditional() (in module gpflow.conditionals.conditionals)

A

A (gpflow.models.sgpr.SGPR_deprecated.CommonTensors attribute) AAT (gpflow.models.sgpr.SGPR_deprecated.CommonTensors attribute) AbstractPosterior (class in gpflow.posteriors) add_noise_cov() (in module gpflow.posteriors) Additive (class in gpflow.mean_functions) AnisotropicStationary (class in gpflow.kernels) ArcCosine (class in gpflow.kernels) ard (gpflow.kernels.ArcCosine property) (gpflow.kernels.Linear property) (gpflow.kernels.Stationary property)

ArgumentRef (class in gpflow.experimental.check_shapes.argument_ref) ArgumentReferenceError (class in gpflow.experimental.check_shapes) as_context() (in module gpflow.config) assign() (gpflow.Parameter method) AttributeArgumentRef (class in gpflow.experimental.check_shapes.argument_ref) axis_dynamic (gpflow.posteriors.PrecomputedValue attribute)

B

B (gpflow.models.sgpr.SGPR_deprecated.CommonTensors attribute) base_conditional() (in module gpflow.conditionals) base_conditional_with_lm() (in module gpflow.posteriors) BasePosterior (class in gpflow.posteriors) BayesianGPLVM (class in gpflow.models)

BayesianModel (class in gpflow.models) Bernoulli (class in gpflow.likelihoods) bernoulli() (in module gpflow.logdensities) Beta (class in gpflow.likelihoods) beta() (in module gpflow.logdensities) broadcasting_elementwise() (in module gpflow.utilities.ops)

C

calc_num_latent_gps() (gpflow.models.GPModel static method) calc_num_latent_gps_from_data() (gpflow.models.GPModel static method) cast() (in module gpflow.utilities.misc) CGLB (class in gpflow.models) cglb_conjugate_gradient() (in module gpflow.models.cglb) ChangePoints (class in gpflow.kernels) check_shapes() (in module gpflow.experimental.check_shapes) Combination (class in gpflow.kernels) compute_qu() (gpflow.models.sgpr.SGPR_deprecated method) conditional_mean() (gpflow.likelihoods.Likelihood method) conditional_variance() (gpflow.likelihoods.Likelihood method)

Config (class in gpflow.config) config() (in module gpflow.config) Constant (class in gpflow.kernels) (class in gpflow.mean_functions) convert_to_constrained_values() (gpflow.optimizers.SamplingHelper method) Convolutional (class in gpflow.kernels) Coregion (class in gpflow.kernels) coregionalization_conditional() (in module gpflow.conditionals.multioutput.conditionals), [1], [2] Cosine (class in gpflow.kernels) create_posterior() (in module gpflow.posteriors) current_state (gpflow.optimizers.SamplingHelper property)

D

data_input_to_tensor() (in module gpflow.models.gpr) deepcopy() (in module gpflow.utilities) default_float() (in module gpflow) default_int() (in module gpflow) default_jitter() (in module gpflow) default_positive_bijector() (in module gpflow.config)

default_positive_minimum() (in module gpflow.config) default_summary_fmt() (in module gpflow.base) DiagonalGaussian (class in gpflow.probability_distributions) difference_matrix() (in module gpflow.utilities.ops) dispatch() (gpflow.kullback_leiblers.Dispatcher method) Dispatcher (class in gpflow.kullback_leiblers)

E

elbo() (gpflow.models.BayesianGPLVM method) (gpflow.models.sgpr.SGPR_deprecated method) (gpflow.models.svgp.SVGP_deprecated method) (gpflow.models.vgp.VGP_deprecated method) (gpflow.models.VGPOpperArchambeau method) ExecuteCallback (class in gpflow.monitor) expand_independent_outputs() (in module gpflow.posteriors) expectation() (in module gpflow.expectations)

expectation_to_meanvarsqrt() (in module gpflow.optimizers.natgrad) expectation_to_natural() (in module gpflow.optimizers.natgrad) experimental() (in module gpflow.experimental.utils) Exponential (class in gpflow.kernels) (class in gpflow.likelihoods) exponential() (in module gpflow.logdensities) ExternalDataTrainingLossMixin (class in gpflow.models) eye() (in module gpflow.posteriors)

F

fallback_independent_latent_conditional() (in module gpflow.conditionals.multioutput.conditionals), [1], [2] FallbackIndependentLatentPosterior (class in gpflow.posteriors) FallbackSeparateIndependentInducingVariables (class in gpflow.inducing_variables) FallbackSharedIndependentInducingVariables (class in gpflow.inducing_variables) fitc_log_marginal_likelihood() (gpflow.models.GPRFITC method)

freeze() (in module gpflow.utilities) fully_correlated_conditional() (in module gpflow.posteriors) fully_correlated_conditional_repeat() (in module gpflow.conditionals.util) FullyCorrelatedPosterior (class in gpflow.posteriors) fused_predict_f() (gpflow.posteriors.AbstractPosterior method)

G

Gamma (class in gpflow.likelihoods) gamma() (in module gpflow.logdensities) gauss_kl() (in module gpflow.kullback_leiblers) Gaussian (class in gpflow.likelihoods) (class in gpflow.probability_distributions) gaussian() (in module gpflow.logdensities) GaussianMC (class in gpflow.likelihoods) GaussianQuadrature (class in gpflow.quadrature) get() (gpflow.experimental.check_shapes.argument_ref.ArgumentRef method) get_config() (gpflow.optimizers.NaturalGradient method) get_eval_func() (in module gpflow.expectations.quadratures) get_first_occurrence() (gpflow.kullback_leiblers.Dispatcher method) get_patches() (gpflow.kernels.Convolutional method) gh_points_and_weights() (in module gpflow.quadrature.gauss_hermite) gpflow module gpflow.base module gpflow.conditionals module gpflow.conditionals.multioutput module gpflow.conditionals.multioutput.conditionals module gpflow.conditionals.util module gpflow.config module gpflow.covariances module gpflow.covariances.kufs module gpflow.covariances.kuus module gpflow.covariances.multioutput module gpflow.covariances.multioutput.kufs module gpflow.covariances.multioutput.kuus module gpflow.expectations module gpflow.expectations.quadratures module gpflow.experimental module gpflow.experimental.check_shapes module gpflow.experimental.check_shapes.argument_ref module gpflow.experimental.check_shapes.specs module gpflow.experimental.utils module gpflow.inducing_variables module gpflow.inducing_variables.inducing_variables module

gpflow.kernels module gpflow.kernels.base module gpflow.kullback_leiblers module gpflow.likelihoods module gpflow.likelihoods.utils module gpflow.logdensities module gpflow.mean_functions module gpflow.models module gpflow.models.cglb module gpflow.models.gpr module gpflow.models.sgpr module gpflow.models.svgp module gpflow.models.vgp module gpflow.monitor module gpflow.optimizers module gpflow.optimizers.natgrad module gpflow.posteriors module gpflow.probability_distributions module gpflow.quadrature module gpflow.quadrature.gauss_hermite module gpflow.utilities module gpflow.utilities.misc module gpflow.utilities.ops module gpflow.utilities.traversal module GPLVM (class in gpflow.models) GPMC (class in gpflow.models) GPModel (class in gpflow.models) GPR (class in gpflow.models) GPR_deprecated (class in gpflow.models.gpr) GPR_with_posterior (class in gpflow.models.gpr) GPRFITC (class in gpflow.models) GPRPosterior (class in gpflow.posteriors)

H

hermgauss() (in module gpflow.quadrature)

HeteroskedasticTFPConditional (class in gpflow.likelihoods)

I

Identity (class in gpflow.mean_functions) ImageToTensorBoard (class in gpflow.monitor) independent_interdomain_conditional() (in module gpflow.posteriors) IndependentLatent (class in gpflow.kernels) IndependentPosterior (class in gpflow.posteriors) IndependentPosteriorMultiOutput (class in gpflow.posteriors) IndependentPosteriorSingleOutput (class in gpflow.posteriors) IndexArgumentRef (class in gpflow.experimental.check_shapes.argument_ref) inducing_point_conditional() (in module gpflow.conditionals.multioutput.conditionals), [1] InducingPatches (class in gpflow.inducing_variables) inducingpoint_wrapper() (in module gpflow.models.sgpr)

InducingPoints (class in gpflow.inducing_variables) InducingPointsBase (class in gpflow.inducing_variables.inducing_variables) InducingVariables (class in gpflow.inducing_variables) inherit_check_shapes() (in module gpflow.experimental.check_shapes) InternalDataTrainingLossMixin (class in gpflow.models) inv_probit() (in module gpflow.likelihoods.utils) is_result (gpflow.experimental.check_shapes.argument_ref.ArgumentRef property) (gpflow.experimental.check_shapes.argument_ref.AttributeArgumentRef property) (gpflow.experimental.check_shapes.argument_ref.IndexArgumentRef property) (gpflow.experimental.check_shapes.argument_ref.RootArgumentRef property) is_variable() (in module gpflow.utilities) IsotropicStationary (class in gpflow.kernels)

K

K() (gpflow.kernels.LinearCoregionalization method) (gpflow.kernels.MultioutputKernel method) (gpflow.kernels.SeparateIndependent method) (gpflow.kernels.SharedIndependent method) K_diag() (gpflow.kernels.LinearCoregionalization method) (gpflow.kernels.MultioutputKernel method) (gpflow.kernels.SeparateIndependent method) (gpflow.kernels.SharedIndependent method) Kernel (class in gpflow.kernels) Kuf_conv_patch() (in module gpflow.covariances.kufs), [1] Kuf_fallback_separate_linear_coregionalization() (in module gpflow.covariances.multioutput.kufs), [1] Kuf_fallback_shared_linear_coregionalization() (in module gpflow.covariances.multioutput.kufs), [1] Kuf_generic() (in module gpflow.covariances.multioutput.kufs), [1] Kuf_kernel_inducingpoints() (in module gpflow.covariances.kufs), [1]

Kuf_separate_linear_coregionalization() (in module gpflow.covariances.multioutput.kufs), [1] Kuf_separate_separate() (in module gpflow.covariances.multioutput.kufs), [1] Kuf_separate_shared() (in module gpflow.covariances.multioutput.kufs), [1] Kuf_shared_linear_coregionalization() (in module gpflow.covariances.multioutput.kufs), [1] Kuf_shared_separate() (in module gpflow.covariances.multioutput.kufs), [1] Kuf_shared_shared() (in module gpflow.covariances.multioutput.kufs), [1] Kuf_sqexp_multiscale() (in module gpflow.covariances.kufs), [1] Kuu_conv_patch() (in module gpflow.covariances.kuus), [1] Kuu_fallbace_separate() (in module gpflow.covariances.multioutput.kuus), [1], [2] Kuu_fallback_separate_shared() (in module gpflow.covariances.multioutput.kuus), [1] Kuu_fallback_shared() (in module gpflow.covariances.multioutput.kuus), [1], [2] Kuu_generic() (in module gpflow.covariances.multioutput.kuus), [1] Kuu_kernel_inducingpoints() (in module gpflow.covariances.kuus), [1] Kuu_shared_shared() (in module gpflow.covariances.multioutput.kuus), [1] Kuu_sqexp_multiscale() (in module gpflow.covariances.kuus), [1]

L

L (gpflow.models.sgpr.SGPR_deprecated.CommonTensors attribute) laplace() (in module gpflow.logdensities) latent_kernels (gpflow.kernels.LinearCoregionalization property) (gpflow.kernels.MultioutputKernel property) (gpflow.kernels.SeparateIndependent property) (gpflow.kernels.SharedIndependent property) LB (gpflow.models.sgpr.SGPR_deprecated.CommonTensors attribute) leading_transpose() (in module gpflow.posteriors) leaf_components() (in module gpflow.utilities) Likelihood (class in gpflow.likelihoods) Linear (class in gpflow.kernels) (class in gpflow.mean_functions) LinearCoregionalization (class in gpflow.kernels) LinearCoregionalizationPosterior (class in gpflow.posteriors)

list_to_flat_grid() (in module gpflow.quadrature.gauss_hermite) log_likelihood() (gpflow.models.GPMC method) log_likelihood_lower_bound() (gpflow.models.SGPMC method) log_marginal_likelihood() (gpflow.models.gpr.GPR_deprecated method) log_posterior_density() (gpflow.models.BayesianModel method) (gpflow.models.GPMC method) (gpflow.models.SGPMC method) log_prior_density() (gpflow.models.BayesianModel method) (gpflow.Parameter method) log_prob() (gpflow.likelihoods.Likelihood method) logdet_term() (gpflow.models.CGLB method) (gpflow.models.sgpr.SGPR_deprecated method) lognormal() (in module gpflow.logdensities) logspace() (gpflow.quadrature.GaussianQuadrature method)

M

MarkovGaussian (class in gpflow.probability_distributions) Matern12 (class in gpflow.kernels) Matern32 (class in gpflow.kernels) Matern52 (class in gpflow.kernels) maximum_log_likelihood_objective() (gpflow.models.BayesianGPLVM method) (gpflow.models.BayesianModel method) (gpflow.models.GPMC method) (gpflow.models.gpr.GPR_deprecated method) (gpflow.models.GPRFITC method) (gpflow.models.SGPMC method) (gpflow.models.sgpr.SGPR_deprecated method) (gpflow.models.svgp.SVGP_deprecated method) (gpflow.models.vgp.VGP_deprecated method) (gpflow.models.VGPOpperArchambeau method) (in module gpflow.models) MeanFunction (class in gpflow.mean_functions) meanvarsqrt_to_expectation() (in module gpflow.optimizers.natgrad) meanvarsqrt_to_natural() (in module gpflow.optimizers.natgrad) meanvarsqrt_to_xi() (gpflow.optimizers.XiNat static method) (gpflow.optimizers.XiSqrtMeanVar static method) (gpflow.optimizers.XiTransform static method) minimize() (gpflow.optimizers.NaturalGradient method) (gpflow.optimizers.Scipy method) mix_latent_gp() (in module gpflow.posteriors) ModelToTensorBoard (class in gpflow.monitor) module gpflow gpflow.base gpflow.conditionals gpflow.conditionals.multioutput gpflow.conditionals.multioutput.conditionals gpflow.conditionals.util gpflow.config gpflow.covariances gpflow.covariances.kufs gpflow.covariances.kuus gpflow.covariances.multioutput gpflow.covariances.multioutput.kufs gpflow.covariances.multioutput.kuus gpflow.expectations gpflow.expectations.quadratures gpflow.experimental gpflow.experimental.check_shapes gpflow.experimental.check_shapes.argument_ref gpflow.experimental.check_shapes.specs gpflow.experimental.utils gpflow.inducing_variables gpflow.inducing_variables.inducing_variables gpflow.kernels gpflow.kernels.base gpflow.kullback_leiblers gpflow.likelihoods gpflow.likelihoods.utils gpflow.logdensities gpflow.mean_functions gpflow.models gpflow.models.cglb gpflow.models.gpr gpflow.models.sgpr gpflow.models.svgp gpflow.models.vgp gpflow.monitor gpflow.optimizers gpflow.optimizers.natgrad gpflow.posteriors gpflow.probability_distributions gpflow.quadrature gpflow.quadrature.gauss_hermite gpflow.utilities gpflow.utilities.misc gpflow.utilities.ops gpflow.utilities.traversal

Module (class in gpflow) Monitor (class in gpflow.monitor) MonitorTask (class in gpflow.monitor) MonitorTaskGroup (class in gpflow.monitor) MonteCarloLikelihood (class in gpflow.likelihoods) MultiClass (class in gpflow.likelihoods) MultiLatentLikelihood (class in gpflow.likelihoods) MultiLatentTFPConditional (class in gpflow.likelihoods) MultioutputInducingVariables (class in gpflow.inducing_variables) MultioutputKernel (class in gpflow.kernels) multiple_assign() (in module gpflow.utilities) Multiscale (class in gpflow.inducing_variables) multivariate_normal() (in module gpflow.logdensities) mvhermgauss() (in module gpflow.quadrature) mvnquad() (in module gpflow.quadrature)

N

natural_to_expectation() (in module gpflow.optimizers.natgrad) natural_to_meanvarsqrt() (in module gpflow.optimizers.natgrad) NaturalGradient (class in gpflow.optimizers) naturals_to_xi() (gpflow.optimizers.XiNat static method) (gpflow.optimizers.XiSqrtMeanVar static method) (gpflow.optimizers.XiTransform static method) ndgh_points_and_weights() (in module gpflow.quadrature.gauss_hermite) ndiag_mc() (in module gpflow.quadrature) NDiagGHQuadrature (class in gpflow.quadrature)

ndiagquad() (in module gpflow.quadrature) num_inducing (gpflow.inducing_variables.FallbackSeparateIndependentInducingVariables property) (gpflow.inducing_variables.FallbackSharedIndependentInducingVariables property) (gpflow.inducing_variables.inducing_variables.InducingPointsBase property) (gpflow.inducing_variables.InducingVariables property) num_latent_gps (gpflow.kernels.LinearCoregionalization property) (gpflow.kernels.MultioutputKernel property) (gpflow.kernels.SeparateIndependent property) (gpflow.kernels.SharedIndependent property) NystromPreconditioner (class in gpflow.models.cglb)

O

on_separate_dimensions (gpflow.kernels.Combination property)

on_separate_dims() (gpflow.kernels.Kernel method) Ordinal (class in gpflow.likelihoods)

P

Parameter (class in gpflow) parameter_dict() (in module gpflow.utilities) ParsedArgumentSpec (class in gpflow.experimental.check_shapes.specs) ParsedDimensionSpec (class in gpflow.experimental.check_shapes.specs) ParsedShapeSpec (class in gpflow.experimental.check_shapes.specs) pca_reduce() (in module gpflow.utilities.ops) Periodic (class in gpflow.kernels) Poisson (class in gpflow.likelihoods) poisson() (in module gpflow.logdensities) Polynomial (class in gpflow.kernels) positive() (in module gpflow.utilities) positive_bijector_type_map() (in module gpflow.config) posterior() (gpflow.models.gpr.GPR_with_posterior method) (gpflow.models.sgpr.SGPR_with_posterior method) (gpflow.models.svgp.SVGP_with_posterior method) (gpflow.models.vgp.VGP_with_posterior method) PrecomputeCacheType (class in gpflow.posteriors) PrecomputedValue (class in gpflow.posteriors) predict_density() (gpflow.likelihoods.Likelihood method) predict_f() (gpflow.models.BayesianGPLVM method) (gpflow.models.CGLB method) (gpflow.models.GPMC method) (gpflow.models.gpr.GPR_deprecated method) (gpflow.models.gpr.GPR_with_posterior method) (gpflow.models.GPRFITC method) (gpflow.models.SGPMC method) (gpflow.models.sgpr.SGPR_deprecated method) (gpflow.models.sgpr.SGPR_with_posterior method) (gpflow.models.svgp.SVGP_with_posterior method) (gpflow.models.vgp.VGP_with_posterior method) (gpflow.models.VGPOpperArchambeau method) (gpflow.posteriors.AbstractPosterior method)

predict_f_samples() (gpflow.models.GPModel method) predict_log_density() (gpflow.likelihoods.Likelihood method) (gpflow.models.BayesianGPLVM method) (gpflow.models.CGLB method) (gpflow.models.GPModel method) predict_mean_and_var() (gpflow.likelihoods.Likelihood method) predict_y() (gpflow.models.CGLB method) (gpflow.models.GPModel method) print_summary() (in module gpflow.utilities) PriorOn (class in gpflow.base) ProbabilityDistribution (class in gpflow.probability_distributions) Product (class in gpflow.kernels) (class in gpflow.mean_functions)

Q

quad_term() (gpflow.models.CGLB method) (gpflow.models.sgpr.SGPR_deprecated method)

quadrature_expectation() (in module gpflow.expectations) QuadratureLikelihood (class in gpflow.likelihoods)

R

RationalQuadratic (class in gpflow.kernels) read_values() (in module gpflow.utilities) ReducingCombination (class in gpflow.kernels.base) register() (gpflow.kullback_leiblers.Dispatcher method) repeat_as_list() (in module gpflow.quadrature.gauss_hermite) reset_cache_bijectors() (in module gpflow.utilities) reshape_Z_dZ() (in module gpflow.quadrature.gauss_hermite) RobustMax (class in gpflow.likelihoods) rollaxis_left() (in module gpflow.conditionals.util) rollaxis_right() (in module gpflow.conditionals.util)

root_argument_name (gpflow.experimental.check_shapes.argument_ref.ArgumentRef property) (gpflow.experimental.check_shapes.argument_ref.AttributeArgumentRef property) (gpflow.experimental.check_shapes.argument_ref.IndexArgumentRef property) (gpflow.experimental.check_shapes.argument_ref.RootArgumentRef property) RootArgumentRef (class in gpflow.experimental.check_shapes.argument_ref) run() (gpflow.monitor.ExecuteCallback method) (gpflow.monitor.ImageToTensorBoard method) (gpflow.monitor.ModelToTensorBoard method) (gpflow.monitor.MonitorTask method) (gpflow.monitor.ScalarToTensorBoard method)

S

sample_mvn() (in module gpflow.conditionals.util) SamplingHelper (class in gpflow.optimizers) ScalarLikelihood (class in gpflow.likelihoods) ScalarToTensorBoard (class in gpflow.monitor) scaled_difference_matrix() (gpflow.kernels.AnisotropicStationary method) scaled_squared_euclid_dist() (gpflow.kernels.IsotropicStationary method) Scipy (class in gpflow.optimizers) select_dict_parameters_with_prior() (in module gpflow.utilities) separate_independent_conditional() (in module gpflow.conditionals.multioutput.conditionals), [1], [2], [3] separate_independent_conditional_implementation() (in module gpflow.posteriors) SeparateIndependent (class in gpflow.kernels) SeparateIndependentInducingVariables (class in gpflow.inducing_variables) set_config() (in module gpflow.config) set_default_float() (in module gpflow.config) set_default_int() (in module gpflow.config) set_default_jitter() (in module gpflow.config) set_default_positive_bijector() (in module gpflow.config) set_default_positive_minimum() (in module gpflow.config) set_default_summary_fmt() (in module gpflow.config) set_trainable() (in module gpflow) SGPMC (class in gpflow.models) SGPR (class in gpflow.models) SGPR_deprecated (class in gpflow.models.sgpr)

SGPR_deprecated.CommonTensors (class in gpflow.models.sgpr) SGPR_with_posterior (class in gpflow.models.sgpr) SGPRBase_deprecated (class in gpflow.models.sgpr) SGPRPosterior (class in gpflow.posteriors) ShapeMismatchError (class in gpflow.experimental.check_shapes) shared_independent_conditional() (in module gpflow.conditionals.multioutput.conditionals), [1] SharedIndependent (class in gpflow.kernels) SharedIndependentInducingVariables (class in gpflow.inducing_variables) slice() (gpflow.kernels.Kernel method) slice_cov() (gpflow.kernels.Kernel method) Softmax (class in gpflow.likelihoods) square_distance() (in module gpflow.utilities.ops) SquaredExponential (class in gpflow.kernels) Static (class in gpflow.kernels) Stationary (class in gpflow.kernels) student_t() (in module gpflow.logdensities) StudentT (class in gpflow.likelihoods) Sum (class in gpflow.kernels) SVGP (class in gpflow.models) SVGP_deprecated (class in gpflow.models.svgp) SVGP_with_posterior (class in gpflow.models.svgp) swap_dimensions() (in module gpflow.optimizers.natgrad) SwitchedLikelihood (class in gpflow.likelihoods) SwitchedMeanFunction (class in gpflow.mean_functions)

T

tabulate_module_summary() (in module gpflow.utilities) target_log_prob_fn (gpflow.optimizers.SamplingHelper property) to_default_float() (in module gpflow.kullback_leiblers) to_default_int() (in module gpflow.utilities) ToTensorBoard (class in gpflow.monitor) trainable (gpflow.Parameter property) training_loop() (in module gpflow.utilities) training_loss() (gpflow.models.ExternalDataTrainingLossMixin method) (gpflow.models.InternalDataTrainingLossMixin method) (in module gpflow.models)

training_loss_closure() (gpflow.models.ExternalDataTrainingLossMixin method) (gpflow.models.InternalDataTrainingLossMixin method) (in module gpflow.models) traverse_module() (in module gpflow.utilities.traversal) triangular() (in module gpflow.utilities) triangular_size() (in module gpflow.utilities)

U

uncertain_conditional() (in module gpflow.conditionals) update_cache() (gpflow.posteriors.AbstractPosterior method)

update_vgp_data() (in module gpflow.models.vgp) upper_bound() (gpflow.models.sgpr.SGPRBase_deprecated method)

V

value (gpflow.posteriors.PrecomputedValue attribute) variational_expectations() (gpflow.likelihoods.Likelihood method) VGP (class in gpflow.models)

VGP_deprecated (class in gpflow.models.vgp) VGP_with_posterior (class in gpflow.models.vgp) VGPOpperArchambeau (class in gpflow.models) VGPPosterior (class in gpflow.posteriors)

W

White (class in gpflow.kernels)

wrap_alpha_Qinv() (gpflow.posteriors.PrecomputedValue static method)

X

xi_to_meanvarsqrt() (gpflow.optimizers.XiNat static method) (gpflow.optimizers.XiSqrtMeanVar static method) (gpflow.optimizers.XiTransform static method)

XiNat (class in gpflow.optimizers) XiSqrtMeanVar (class in gpflow.optimizers) XiTransform (class in gpflow.optimizers)

Z

Zero (class in gpflow.mean_functions)