Introduction
GPflow manual
GPflow with TensorFlow 2
Notebooks
Derivations
API reference
Bibliography
2.5.2
2.9.1
develop
2.9.0
2.8.1
2.8.0
2.7.1
2.7.0
2.6.4
2.6.3
2.6.2
2.6.1
2.6.0
2.5.2
2.5.1
2.5.0
2.4.0
Index
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A
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B
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C
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D
|
E
|
F
|
G
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H
|
I
|
J
|
K
|
L
|
M
|
N
|
O
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P
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Q
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R
|
S
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T
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U
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V
|
W
|
X
|
Z
_
_() (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)
_get_posterior_independentlatent_mo_fallback() (in module gpflow.posteriors)
_get_posterior_linearcoregionalization_mo_efficient() (in module gpflow.posteriors)
_sample_conditional() (in module gpflow.conditionals.multioutput.sample_conditionals)
(in module gpflow.conditionals.sample_conditionals)
_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_columned_line() (gpflow.experimental.check_shapes.error_contexts.MessageBuilder method)
add_context() (gpflow.experimental.check_shapes.ShapeChecker method)
add_line() (gpflow.experimental.check_shapes.error_contexts.MessageBuilder method)
add_noise_cov() (in module gpflow.utilities)
Additive (class in gpflow.mean_functions)
AllElementsRef (class in gpflow.experimental.check_shapes.argument_ref)
AnisotropicStationary (class in gpflow.kernels)
ArcCosine (class in gpflow.kernels)
ard (gpflow.kernels.ArcCosine property)
(gpflow.kernels.Linear property)
(gpflow.kernels.Stationary property)
ArgumentContext (class in gpflow.experimental.check_shapes.error_contexts)
ArgumentRef (class in gpflow.experimental.check_shapes.argument_ref)
ArgumentReferenceError (class in gpflow.experimental.check_shapes.exceptions)
as_context() (in module gpflow.config)
assign() (gpflow.Parameter method)
AttributeArgumentRef (class in gpflow.experimental.check_shapes.argument_ref)
AttributeContext (class in gpflow.experimental.check_shapes.error_contexts)
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.conditionals.util)
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)
Bias (in module gpflow.kernels)
broadcasting_elementwise() (in module gpflow.utilities.ops)
build() (gpflow.experimental.check_shapes.error_contexts.MessageBuilder method)
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.ops)
CGLB (class in gpflow.models)
cglb_conjugate_gradient() (in module gpflow.models.cglb)
ChangePoints (class in gpflow.kernels)
check_shape() (gpflow.experimental.check_shapes.ShapeChecker method)
(in module gpflow.experimental.check_shapes)
check_shapes() (gpflow.experimental.check_shapes.ShapeChecker method)
(in module gpflow.experimental.check_shapes)
CheckShapesError (class in gpflow.experimental.check_shapes.exceptions)
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)
ConditionContext (class in gpflow.experimental.check_shapes.error_contexts)
Config (class in gpflow.config)
config() (in module gpflow.config)
Constant (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)
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.util)
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.config)
DelegatingArgumentRef (class in gpflow.experimental.check_shapes.argument_ref)
DiagonalGaussian (class in gpflow.probability_distributions)
difference_matrix() (in module gpflow.utilities.ops)
disable_check_shapes() (in module gpflow.experimental.check_shapes)
dispatch() (gpflow.utilities.Dispatcher method)
dispatch_or_raise() (gpflow.utilities.Dispatcher method)
Dispatcher (class in gpflow.utilities)
DocstringFormat (class in gpflow.experimental.check_shapes)
DocstringParseError (class in gpflow.experimental.check_shapes.exceptions)
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)
ErrorContext (class in gpflow.experimental.check_shapes)
ExecuteCallback (class in gpflow.monitor)
expand_independent_outputs() (in module gpflow.conditionals.util)
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.utilities.ops)
F
fallback_independent_latent_conditional() (in module gpflow.conditionals.multioutput.conditionals)
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)
float (gpflow.config.Config attribute)
freeze() (in module gpflow.utilities)
fully_correlated_conditional() (in module gpflow.conditionals.util)
fully_correlated_conditional_repeat() (in module gpflow.conditionals.util)
FullyCorrelatedPosterior (class in gpflow.posteriors)
FunctionCallContext (class in gpflow.experimental.check_shapes.error_contexts)
FunctionDefinitionContext (class in gpflow.experimental.check_shapes.error_contexts)
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)
(gpflow.experimental.check_shapes.argument_ref.DelegatingArgumentRef method)
(gpflow.experimental.check_shapes.argument_ref.RootArgumentRef method)
(gpflow.experimental.check_shapes.bool_specs.ParsedAndBoolSpec method)
(gpflow.experimental.check_shapes.bool_specs.ParsedArgumentRefBoolSpec method)
(gpflow.experimental.check_shapes.bool_specs.ParsedBoolSpec method)
(gpflow.experimental.check_shapes.bool_specs.ParsedNotBoolSpec method)
(gpflow.experimental.check_shapes.bool_specs.ParsedOrBoolSpec method)
get_check_shapes() (in module gpflow.experimental.check_shapes)
get_config() (gpflow.optimizers.NaturalGradient method)
get_enable_check_shapes() (in module gpflow.experimental.check_shapes)
get_eval_func() (in module gpflow.expectations.quadratures)
get_first_occurrence() (gpflow.utilities.Dispatcher method)
get_ndarray_shape() (in module gpflow.experimental.check_shapes.shapes)
get_patches() (gpflow.kernels.Convolutional method)
get_rewrite_docstrings() (in module gpflow.experimental.check_shapes)
get_scalar_shape() (in module gpflow.experimental.check_shapes.shapes)
get_sequence_shape() (in module gpflow.experimental.check_shapes.shapes)
get_shape() (in module gpflow.experimental.check_shapes)
get_shape_checker() (in module gpflow.experimental.check_shapes)
get_tensorflow_shape() (in module gpflow.experimental.check_shapes.shapes)
gh_points_and_weights() (in module gpflow.quadrature.gauss_hermite)
gpflow
module
gpflow.base
module
gpflow.conditionals
module
gpflow.conditionals.util
module
gpflow.config
module
gpflow.covariances
module
gpflow.expectations
module
gpflow.expectations.quadratures
module
gpflow.experimental
module
gpflow.experimental.check_shapes
module
gpflow.experimental.check_shapes.accessors
module
gpflow.experimental.check_shapes.argument_ref
module
gpflow.experimental.check_shapes.bool_specs
module
gpflow.experimental.check_shapes.checker_context
module
gpflow.experimental.check_shapes.decorator
module
gpflow.experimental.check_shapes.error_contexts
module
gpflow.experimental.check_shapes.exceptions
module
gpflow.experimental.check_shapes.parser
module
gpflow.experimental.check_shapes.shapes
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.util
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.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)
indent() (gpflow.experimental.check_shapes.error_contexts.MessageBuilder method)
independent_interdomain_conditional() (in module gpflow.conditionals.util)
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)
IndexContext (class in gpflow.experimental.check_shapes.error_contexts)
inducing_point_conditional() (in module gpflow.conditionals.multioutput.conditionals)
InducingPatches (class in gpflow.inducing_variables)
inducingpoint_wrapper() (in module gpflow.models.util)
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)
int (gpflow.config.Config attribute)
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.DelegatingArgumentRef property)
(gpflow.experimental.check_shapes.argument_ref.RootArgumentRef property)
is_variable() (in module gpflow.utilities)
IsotropicStationary (class in gpflow.kernels)
J
jitter (gpflow.config.Config attribute)
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)
KeysRef (class in gpflow.experimental.check_shapes.argument_ref)
Kuf_conv_patch() (in module gpflow.covariances.kufs)
Kuf_fallback_separate_linear_coregionalization() (in module gpflow.covariances.multioutput.kufs)
Kuf_fallback_shared_linear_coregionalization() (in module gpflow.covariances.multioutput.kufs)
Kuf_generic() (in module gpflow.covariances.multioutput.kufs)
Kuf_kernel_inducingpoints() (in module gpflow.covariances.kufs)
Kuf_separate_linear_coregionalization() (in module gpflow.covariances.multioutput.kufs)
Kuf_separate_separate() (in module gpflow.covariances.multioutput.kufs)
Kuf_separate_shared() (in module gpflow.covariances.multioutput.kufs)
Kuf_shared_linear_coregionalization() (in module gpflow.covariances.multioutput.kufs)
Kuf_shared_separate() (in module gpflow.covariances.multioutput.kufs)
Kuf_shared_shared() (in module gpflow.covariances.multioutput.kufs)
Kuf_sqexp_multiscale() (in module gpflow.covariances.kufs)
Kuu_conv_patch() (in module gpflow.covariances.kuus)
Kuu_fallbace_separate() (in module gpflow.covariances.multioutput.kuus)
Kuu_fallback_separate_shared() (in module gpflow.covariances.multioutput.kuus)
Kuu_fallback_shared() (in module gpflow.covariances.multioutput.kuus)
Kuu_generic() (in module gpflow.covariances.multioutput.kuus)
Kuu_kernel_inducingpoints() (in module gpflow.covariances.kuus)
Kuu_shared_shared() (in module gpflow.covariances.multioutput.kuus)
Kuu_sqexp_multiscale() (in module gpflow.covariances.kuus)
L
L (gpflow.models.sgpr.SGPR_deprecated.CommonTensors attribute)
laplace() (in module gpflow.logdensities)
LarkUnexpectedInputContext (class in gpflow.experimental.check_shapes.error_contexts)
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.utilities.ops)
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
map_context() (gpflow.experimental.check_shapes.argument_ref.AttributeArgumentRef method)
(gpflow.experimental.check_shapes.argument_ref.DelegatingArgumentRef method)
(gpflow.experimental.check_shapes.argument_ref.IndexArgumentRef method)
map_value() (gpflow.experimental.check_shapes.argument_ref.AllElementsRef method)
(gpflow.experimental.check_shapes.argument_ref.AttributeArgumentRef method)
(gpflow.experimental.check_shapes.argument_ref.DelegatingArgumentRef method)
(gpflow.experimental.check_shapes.argument_ref.IndexArgumentRef method)
(gpflow.experimental.check_shapes.argument_ref.KeysRef method)
(gpflow.experimental.check_shapes.argument_ref.ValuesRef method)
MappingKeyContext (class in gpflow.experimental.check_shapes.error_contexts)
MappingValueContext (class in gpflow.experimental.check_shapes.error_contexts)
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)
maybe_get_check_shapes() (in module gpflow.experimental.check_shapes.accessors)
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)
MessageBuilder (class in gpflow.experimental.check_shapes.error_contexts)
minimize() (gpflow.optimizers.NaturalGradient method)
(gpflow.optimizers.Scipy method)
mix_latent_gp() (in module gpflow.conditionals.util)
ModelToTensorBoard (class in gpflow.monitor)
module
gpflow
gpflow.base
gpflow.conditionals
gpflow.conditionals.util
gpflow.config
gpflow.covariances
gpflow.expectations
gpflow.expectations.quadratures
gpflow.experimental
gpflow.experimental.check_shapes
gpflow.experimental.check_shapes.accessors
gpflow.experimental.check_shapes.argument_ref
gpflow.experimental.check_shapes.bool_specs
gpflow.experimental.check_shapes.checker_context
gpflow.experimental.check_shapes.decorator
gpflow.experimental.check_shapes.error_contexts
gpflow.experimental.check_shapes.exceptions
gpflow.experimental.check_shapes.parser
gpflow.experimental.check_shapes.shapes
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.util
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.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)
MultipleElementBoolContext (class in gpflow.experimental.check_shapes.error_contexts)
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)
NONE (gpflow.experimental.check_shapes.DocstringFormat attribute)
NoShapeError (class in gpflow.experimental.check_shapes.exceptions)
NoteContext (class in gpflow.experimental.check_shapes.error_contexts)
null_check_shapes() (in module gpflow.experimental.check_shapes.decorator)
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
ObjectTypeContext (class in gpflow.experimental.check_shapes.error_contexts)
ObjectValueContext (class in gpflow.experimental.check_shapes.error_contexts)
on_separate_dimensions (gpflow.kernels.Combination property)
on_separate_dims() (gpflow.kernels.Kernel method)
Ordinal (class in gpflow.likelihoods)
P
ParallelContext (class in gpflow.experimental.check_shapes.error_contexts)
Parameter (class in gpflow)
parameter_dict() (in module gpflow.utilities)
parse_and_rewrite_docstring() (in module gpflow.experimental.check_shapes.parser)
parse_function_spec() (in module gpflow.experimental.check_shapes.parser)
parse_tensor_spec() (in module gpflow.experimental.check_shapes.parser)
ParsedAndBoolSpec (class in gpflow.experimental.check_shapes.bool_specs)
ParsedArgumentRefBoolSpec (class in gpflow.experimental.check_shapes.bool_specs)
ParsedArgumentSpec (class in gpflow.experimental.check_shapes.specs)
ParsedBoolSpec (class in gpflow.experimental.check_shapes.bool_specs)
ParsedDimensionSpec (class in gpflow.experimental.check_shapes.specs)
ParsedFunctionSpec (class in gpflow.experimental.check_shapes.specs)
ParsedNotBoolSpec (class in gpflow.experimental.check_shapes.bool_specs)
ParsedNoteSpec (class in gpflow.experimental.check_shapes.specs)
ParsedOrBoolSpec (class in gpflow.experimental.check_shapes.bool_specs)
ParsedShapeSpec (class in gpflow.experimental.check_shapes.specs)
ParsedTensorSpec (class in gpflow.experimental.check_shapes.specs)
ParserInputContext (class in gpflow.experimental.check_shapes.error_contexts)
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 (gpflow.config.Config attribute)
positive_bijector_type_map() (in module gpflow.config)
positive_minimum (gpflow.config.Config attribute)
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)
precompute() (gpflow.experimental.check_shapes.error_contexts.FunctionCallContext method)
PrecomputeCacheType (class in gpflow.posteriors)
PrecomputedValue (class in gpflow.posteriors)
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() (gpflow.experimental.check_shapes.error_contexts.ArgumentContext method)
(gpflow.experimental.check_shapes.error_contexts.AttributeContext method)
(gpflow.experimental.check_shapes.error_contexts.ConditionContext method)
(gpflow.experimental.check_shapes.error_contexts.FunctionCallContext method)
(gpflow.experimental.check_shapes.error_contexts.FunctionDefinitionContext method)
(gpflow.experimental.check_shapes.error_contexts.IndexContext method)
(gpflow.experimental.check_shapes.error_contexts.LarkUnexpectedInputContext method)
(gpflow.experimental.check_shapes.error_contexts.MappingKeyContext method)
(gpflow.experimental.check_shapes.error_contexts.MappingValueContext method)
(gpflow.experimental.check_shapes.error_contexts.MultipleElementBoolContext method)
(gpflow.experimental.check_shapes.error_contexts.NoteContext method)
(gpflow.experimental.check_shapes.error_contexts.ObjectTypeContext method)
(gpflow.experimental.check_shapes.error_contexts.ObjectValueContext method)
(gpflow.experimental.check_shapes.error_contexts.ParallelContext method)
(gpflow.experimental.check_shapes.error_contexts.ShapeContext method)
(gpflow.experimental.check_shapes.error_contexts.StackContext method)
(gpflow.experimental.check_shapes.error_contexts.TensorSpecContext method)
(gpflow.experimental.check_shapes.error_contexts.TrailingBroadcastVarrankContext method)
(gpflow.experimental.check_shapes.error_contexts.VariableContext method)
(gpflow.experimental.check_shapes.ErrorContext 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)
RBF (in module gpflow.kernels)
read_values() (in module gpflow.utilities)
ReducingCombination (class in gpflow.kernels.base)
register() (gpflow.utilities.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.DelegatingArgumentRef 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)
separate_independent_conditional_implementation() (in module gpflow.conditionals.util)
SeparateIndependent (class in gpflow.kernels)
SeparateIndependentInducingVariables (class in gpflow.inducing_variables)
set_check_shapes() (in module gpflow.experimental.check_shapes.accessors)
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_enable_check_shapes() (in module gpflow.experimental.check_shapes)
set_rewrite_docstrings() (in module gpflow.experimental.check_shapes)
set_shape_checker() (in module gpflow.experimental.check_shapes.checker_context)
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)
ShapeChecker (class in gpflow.experimental.check_shapes)
ShapeContext (class in gpflow.experimental.check_shapes.error_contexts)
ShapeMismatchError (class in gpflow.experimental.check_shapes.exceptions)
shared_independent_conditional() (in module gpflow.conditionals.multioutput.conditionals)
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)
SpecificationParseError (class in gpflow.experimental.check_shapes.exceptions)
SPHINX (gpflow.experimental.check_shapes.DocstringFormat attribute)
square_distance() (in module gpflow.utilities.ops)
StackContext (class in gpflow.experimental.check_shapes.error_contexts)
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)
summary_fmt (gpflow.config.Config attribute)
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)
TensorSpecContext (class in gpflow.experimental.check_shapes.error_contexts)
to_default_float() (in module gpflow.utilities)
to_default_int() (in module gpflow.utilities)
ToTensorBoard (class in gpflow.monitor)
TrailingBroadcastVarrankContext (class in gpflow.experimental.check_shapes.error_contexts)
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)
ValuesRef (class in gpflow.experimental.check_shapes.argument_ref)
VariableContext (class in gpflow.experimental.check_shapes.error_contexts)
VariableTypeError (class in gpflow.experimental.check_shapes.exceptions)
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)