1.3.0
Pyro Core:
Installation
Getting Started
Primitives
Inference
Distributions
Parameters
Neural Networks
Optimization
Poutine (Effect handlers)
Miscellaneous Ops
Contributed Code:
Automatic Name Generation
Bayesian Neural Networks
Causal Effect VAE
Easy Custom Guides
Pyro Examples
Forecasting
Gaussian Processes
Mini Pyro
Optimal Experiment Design
Time Series
Tracking
Pyro
Docs
»
Index
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Index
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__add__() (AffineNormal method)
(Gaussian method)
__call__() (Adam method)
(ConjugateReparam method)
(DiscreteCosineReparam method)
(Distribution method)
(EnergyDistance method)
(JitTrace_ELBO method)
(LatentStableReparam method)
(LinearHMMReparam method)
(LocScaleReparam method)
(Messenger method)
(NeuTraReparam method)
(PyroLRScheduler method)
(PyroOptim method)
(Reparam method)
(StableReparam method)
(StudentTReparam method)
(SymmetricStableReparam method)
(TorchDistributionMixin method)
(TransformReparam method)
__getitem__() (AffineNormal method)
(Gaussian method)
A
Adadelta() (in module pyro.optim.pytorch_optimizers)
Adagrad() (in module pyro.optim.pytorch_optimizers)
AdagradRMSProp (class in pyro.optim.adagrad_rmsprop)
AdagradRMSProp() (in module pyro.optim.optim)
Adam (class in pyro.contrib.minipyro)
Adam() (in module pyro.optim.pytorch_optimizers)
Adamax() (in module pyro.optim.pytorch_optimizers)
AdamW() (in module pyro.optim.pytorch_optimizers)
add() (AutoGuideList method)
(LSH method)
(List method)
add_edge() (Trace method)
add_module() (PyroModule method)
add_node() (Trace method)
affine_autoregressive() (in module pyro.distributions.transforms)
affine_coupling() (in module pyro.distributions.transforms)
AffineAutoregressive (class in pyro.distributions.transforms)
AffineCoupling (class in pyro.distributions.transforms)
AffineNormal (class in pyro.ops.gaussian)
all_escape() (in module pyro.poutine.util)
am_i_wrapped() (in module pyro.poutine.runtime)
append() (AutoGuideList method)
(FullyConnected method)
apply_stack() (in module pyro.contrib.minipyro)
(in module pyro.poutine.runtime)
ApproxSet (class in pyro.contrib.tracking.hashing)
arg_constraints (AVFMultivariateNormal attribute)
(BetaBinomial attribute)
(Delta attribute)
(DirichletMultinomial attribute)
(DiscreteHMM attribute)
(Empirical attribute)
(GammaGaussianHMM attribute)
(GammaPoisson attribute)
(GaussianHMM attribute)
(GaussianMRF attribute)
(GaussianScaleMixture attribute)
(IndependentHMM attribute)
(InverseGamma attribute)
(LKJCorrCholesky attribute)
(LinearHMM attribute)
(MaskedMixture attribute)
(MixtureOfDiagNormals attribute)
(MixtureOfDiagNormalsSharedCovariance attribute)
(MultivariateStudentT attribute)
(OMTMultivariateNormal attribute)
(SpanningTree attribute)
(Stable attribute)
(Unit attribute)
(VonMises attribute)
(VonMises3D attribute)
(ZeroInflatedDistribution attribute)
(ZeroInflatedPoisson attribute)
ASGD() (in module pyro.optim.pytorch_optimizers)
atanh() (TanhTransform static method)
AutoCallable (class in pyro.infer.autoguide)
AutoContinuous (class in pyro.infer.autoguide)
autocorrelation() (in module pyro.ops.stats)
autocovariance() (in module pyro.ops.stats)
AutoDelta (class in pyro.infer.autoguide)
AutoDiagonalNormal (class in pyro.infer.autoguide)
AutoDiscreteParallel (class in pyro.infer.autoguide)
AutoGuide (class in pyro.infer.autoguide)
autoguide() (Parameterized method)
,
[1]
AutoGuideList (class in pyro.infer.autoguide)
AutoIAFNormal (class in pyro.infer.autoguide)
AutoLaplaceApproximation (class in pyro.infer.autoguide)
AutoLowRankMultivariateNormal (class in pyro.infer.autoguide)
AutoMultivariateNormal (class in pyro.infer.autoguide)
AutoNormal (class in pyro.infer.autoguide)
AutoNormalizingFlow (class in pyro.infer.autoguide)
autoregressive (AffineAutoregressive attribute)
(BlockAutoregressive attribute)
(Polynomial attribute)
AutoRegressiveNN (class in pyro.nn.auto_reg_nn)
AVFMultivariateNormal (class in pyro.distributions)
B
backtest() (in module pyro.contrib.forecast.evaluate)
BackwardSampleMessenger (class in pyro.infer.traceenum_elbo)
bandwidth_factor (IMQSteinKernel attribute)
(RBFSteinKernel attribute)
batch_shape (AffineNormal attribute)
(Gaussian attribute)
BatchNorm (class in pyro.distributions.transforms)
batchnorm() (in module pyro.distributions.transforms)
Bernoulli (class in pyro.distributions)
BernoulliNet (class in pyro.contrib.cevae)
Beta (class in pyro.distributions)
BetaBinomial (class in pyro.distributions)
bijective (AffineAutoregressive attribute)
(AffineCoupling attribute)
(BatchNorm attribute)
(BlockAutoregressive attribute)
(ConditionalPlanar attribute)
(CorrLCholeskyTransform attribute)
(DiscreteCosineTransform attribute)
(ELUTransform attribute)
(Householder attribute)
(LeakyReLUTransform attribute)
(LowerCholeskyAffine attribute)
(NeuralAutoregressive attribute)
(Permute attribute)
(Planar attribute)
(Polynomial attribute)
(Radial attribute)
(Sylvester attribute)
(TanhTransform attribute)
Binary (class in pyro.contrib.gp.likelihoods)
Binomial (class in pyro.distributions)
block (class in pyro.contrib.minipyro)
block() (in module pyro.poutine.handlers)
block_autoregressive() (in module pyro.distributions.transforms)
block_diag_embed() (in module pyro.ops.tensor_utils)
block_diagonal() (in module pyro.ops.tensor_utils)
BlockAutoregressive (class in pyro.distributions.transforms)
BlockMessenger (class in pyro.poutine.block_messenger)
broadcast() (in module pyro.poutine.handlers)
BroadcastMessenger (class in pyro.poutine.broadcast_messenger)
Brownian (class in pyro.contrib.gp.kernels)
C
call() (AutoGuide method)
(Predictive method)
cat() (Gaussian static method)
Categorical (class in pyro.distributions)
Cauchy (class in pyro.distributions)
CEVAE (class in pyro.contrib.cevae)
Chi2 (class in pyro.distributions)
cholesky() (in module pyro.ops.tensor_utils)
cholesky_solve() (in module pyro.ops.tensor_utils)
cleanup() (HMC method)
clear() (in module pyro.nn.module)
(ParamStoreDict method)
clear_cache() (HMC method)
clear_param_store() (in module pyro.primitives)
ClippedAdam (class in pyro.optim.clipped_adam)
ClippedAdam() (in module pyro.optim.optim)
codomain (AffineAutoregressive attribute)
(AffineCoupling attribute)
(BatchNorm attribute)
(BlockAutoregressive attribute)
(ConditionalPlanar attribute)
(CorrLCholeskyTransform attribute)
(DiscreteCosineTransform attribute)
(ELUTransform attribute)
(Householder attribute)
(LeakyReLUTransform attribute)
(LowerCholeskyAffine attribute)
(NeuralAutoregressive attribute)
(Permute attribute)
(Planar attribute)
(Polynomial attribute)
(Radial attribute)
(Sylvester attribute)
(TanhTransform attribute)
Combination (class in pyro.contrib.gp.kernels)
ComposeTransformModule (class in pyro.distributions)
compute_log_prob() (Trace method)
compute_marginals() (in module pyro.contrib.tracking.assignment)
(TraceEnum_ELBO method)
compute_marginals_bp() (in module pyro.contrib.tracking.assignment)
compute_marginals_persistent() (in module pyro.contrib.tracking.assignment)
compute_marginals_persistent_bp() (in module pyro.contrib.tracking.assignment)
compute_marginals_sparse_bp() (in module pyro.contrib.tracking.assignment)
compute_score_parts() (Trace method)
concentration (DirichletMultinomial attribute)
(GammaPoisson attribute)
(InverseGamma attribute)
concentration0 (BetaBinomial attribute)
concentration1 (BetaBinomial attribute)
CondIndepStackFrame (class in pyro.poutine.indep_messenger)
condition() (AffineNormal method)
(ConditionalDistribution method)
(ConditionalPlanar method)
(ConditionalTransform method)
(ConditionalTransformedDistribution method)
(Gaussian method)
(in module pyro.poutine.handlers)
conditional() (in module pyro.contrib.gp.util)
conditional_planar() (in module pyro.distributions.transforms)
ConditionalAutoRegressiveNN (class in pyro.nn.auto_reg_nn)
ConditionalDistribution (class in pyro.distributions)
ConditionalPlanar (class in pyro.distributions.transforms)
ConditionalTransform (class in pyro.distributions)
ConditionalTransformedDistribution (class in pyro.distributions)
ConditionalTransformModule (class in pyro.distributions)
ConditionMessenger (class in pyro.poutine.condition_messenger)
config_enumerate() (in module pyro.infer.enum)
conjugate_update() (Distribution method)
(GaussianHMM method)
ConjugateReparam (class in pyro.infer.reparam.conjugate)
Constant (class in pyro.contrib.gp.kernels)
constrained_gamma (BatchNorm attribute)
constraint (PyroParam attribute)
contract() (in module pyro.ops.einsum)
contract_expression() (in module pyro.ops.einsum)
convolve() (in module pyro.ops.tensor_utils)
copy() (Trace method)
Coregionalize (class in pyro.contrib.gp.kernels)
CorrLCholeskyTransform (class in pyro.distributions.transforms)
Cosine (class in pyro.contrib.gp.kernels)
CosineAnnealingLR() (in module pyro.optim.pytorch_optimizers)
CosineAnnealingWarmRestarts() (in module pyro.optim.pytorch_optimizers)
cov (EKFState attribute)
(Measurement attribute)
cov2pv() (DynamicModel method)
(Ncp method)
(Ncv method)
cov_pv (EKFState attribute)
covariance_matrix (MultivariateStudentT attribute)
crps_empirical() (in module pyro.ops.stats)
CyclicLR() (in module pyro.optim.pytorch_optimizers)
D
dct() (in module pyro.ops.tensor_utils)
DCTAdam() (in module pyro.optim.optim)
default_process_message() (in module pyro.poutine.runtime)
Delta (class in pyro.distributions)
DependentMaternGP (class in pyro.contrib.timeseries.gp)
detach_() (Trace method)
deterministic() (in module pyro.primitives)
DiagNormalNet (class in pyro.contrib.cevae)
diagnostics() (HMC method)
(MCMC method)
(in module pyro.infer.mcmc.util)
Dict (class in pyro.contrib.autoname.named)
differentiable_loss() (JitTrace_ELBO method)
(JitTraceEnum_ELBO method)
(JitTraceMeanField_ELBO method)
(TraceEnum_ELBO method)
(TraceTMC_ELBO method)
(Trace_ELBO method)
DifferentiableDynamicModel (class in pyro.contrib.tracking.dynamic_models)
DifferentiableMeasurement (class in pyro.contrib.tracking.measurements)
dim() (Gaussian method)
dimension (DynamicModel attribute)
(EKFState attribute)
(Measurement attribute)
dimension_pv (DynamicModel attribute)
(EKFState attribute)
Dirichlet (class in pyro.distributions)
DirichletMultinomial (class in pyro.distributions)
discrete_escape() (in module pyro.poutine.util)
DiscreteCosineReparam (class in pyro.infer.reparam.discrete_cosine)
DiscreteCosineTransform (class in pyro.distributions.transforms)
DiscreteHMM (class in pyro.distributions)
Distribution (class in pyro.distributions)
DistributionNet (class in pyro.contrib.cevae)
do() (in module pyro.poutine.handlers)
domain (AffineAutoregressive attribute)
(AffineCoupling attribute)
(BatchNorm attribute)
(BlockAutoregressive attribute)
(ConditionalPlanar attribute)
(CorrLCholeskyTransform attribute)
(DiscreteCosineTransform attribute)
(ELUTransform attribute)
(Householder attribute)
(LeakyReLUTransform attribute)
(NeuralAutoregressive attribute)
(Planar attribute)
(Polynomial attribute)
(Radial attribute)
(Sylvester attribute)
(TanhTransform attribute)
DoMessenger (class in pyro.poutine.do_messenger)
donsker_varadhan_eig() (in module pyro.contrib.oed.eig)
DotProduct (class in pyro.contrib.gp.kernels)
dtanh_dx() (Sylvester method)
DualAveraging (class in pyro.ops.dual_averaging)
duration (IndependentHMM attribute)
dynamic_model (EKFState attribute)
DynamicModel (class in pyro.contrib.tracking.dynamic_models)
E
easy_guide() (in module pyro.contrib.easyguide)
EasyGuide (class in pyro.contrib.easyguide)
edges (Trace attribute)
effectful() (in module pyro.poutine.runtime)
effective_sample_size() (in module pyro.ops.stats)
einsum() (in module pyro.ops.contract)
EKFDistribution (class in pyro.contrib.tracking.distributions)
EKFState (class in pyro.contrib.tracking.extended_kalman_filter)
ELBO (class in pyro.infer.elbo)
elbo() (in module pyro.contrib.minipyro)
elu() (in module pyro.distributions.transforms)
ELUTransform (class in pyro.distributions.transforms)
Empirical (class in pyro.distributions)
empirical (Marginals attribute)
EmpiricalMarginal (class in pyro.infer.abstract_infer)
enable_validation() (in module pyro.poutine.util)
(in module pyro.primitives)
EnergyDistance (class in pyro.infer.energy_distance)
enum() (in module pyro.poutine.handlers)
enum_extend() (in module pyro.poutine.util)
enumerate_site() (in module pyro.poutine.enum_messenger)
enumerate_support() (BetaBinomial method)
(Distribution method)
(Empirical method)
(SpanningTree method)
EnumMessenger (class in pyro.poutine.enum_messenger)
escape() (in module pyro.poutine.handlers)
EscapeMessenger (class in pyro.poutine.escape_messenger)
eval_crps() (in module pyro.contrib.forecast.evaluate)
eval_mae() (in module pyro.contrib.forecast.evaluate)
eval_rmse() (in module pyro.contrib.forecast.evaluate)
evaluate_loss() (SVI method)
event_dim (AffineAutoregressive attribute)
(AffineCoupling attribute)
(BatchNorm attribute)
(BlockAutoregressive attribute)
(ConditionalPlanar attribute)
(CorrLCholeskyTransform attribute)
(Householder attribute)
(LowerCholeskyAffine attribute)
(NeuralAutoregressive attribute)
(Permute attribute)
(Planar attribute)
(Polynomial attribute)
(PyroParam attribute)
(Radial attribute)
(Sylvester attribute)
(TorchDistributionMixin attribute)
event_logsumexp() (Gaussian method)
event_pad() (Gaussian method)
event_permute() (AffineNormal method)
(Gaussian method)
event_shape (Empirical attribute)
expand() (AffineNormal method)
(BetaBinomial method)
(Delta method)
(DirichletMultinomial method)
(DiscreteHMM method)
(FoldedDistribution method)
(GammaGaussianHMM method)
(GammaPoisson method)
(Gaussian method)
(GaussianHMM method)
(GaussianMRF method)
(IndependentHMM method)
(InverseGamma method)
(LKJCorrCholesky method)
(LinearHMM method)
(MaskedMixture method)
(MixtureOfDiagNormals method)
(MixtureOfDiagNormalsSharedCovariance method)
(MultivariateStudentT method)
(Stable method)
(TorchDistribution method)
(TorchDistributionMixin method)
(Unit method)
(VonMises method)
(VonMises3D method)
(ZeroInflatedDistribution method)
expand_by() (TorchDistributionMixin method)
Exponent (class in pyro.contrib.gp.kernels)
Exponential (class in pyro.contrib.gp.kernels)
(class in pyro.distributions)
ExponentialFamily (class in pyro.distributions)
ExponentialLR() (in module pyro.optim.pytorch_optimizers)
ExponentialNet (class in pyro.contrib.cevae)
F
factor() (in module pyro.primitives)
filter() (DiscreteHMM method)
(GammaGaussianHMM method)
(GaussianHMM method)
filter_states() (EKFDistribution method)
FisherSnedecor (class in pyro.distributions)
fit() (CEVAE method)
fit_generalized_pareto() (in module pyro.ops.stats)
FoldedDistribution (class in pyro.distributions)
forecast() (DependentMaternGP method)
(GenericLGSSM method)
(GenericLGSSMWithGPNoiseModel method)
(IndependentMaternGP method)
(LinearlyCoupledMaternGP method)
(TimeSeriesModel method)
Forecaster (class in pyro.contrib.forecast.forecaster)
ForecastingModel (class in pyro.contrib.forecast.forecaster)
format_shapes() (Trace method)
forward() (AutoCallable method)
(AutoContinuous method)
(AutoDelta method)
(AutoDiscreteParallel method)
(AutoGuideList method)
(AutoNormal method)
(AutoRegressiveNN method)
(BernoulliNet method)
(Binary method)
(Brownian method)
(ConditionalAutoRegressiveNN method)
(Constant method)
(Coregionalize method)
(Cosine method)
(DiagNormalNet method)
(DynamicModel method)
(EasyGuide method)
(Exponent method)
(Exponential method)
(ExponentialNet method)
(Forecaster method)
(ForecastingModel method)
(GPLVM method)
(GPModel method)
(GPRegression method)
(Gaussian method)
(Guide method)
(HMCForecaster method)
(Kernel method)
(LaplaceNet method)
(Likelihood method)
(Linear method)
(Matern32 method)
(Matern52 method)
(Model method)
(MultiClass method)
(Ncp method)
(Ncv method)
(NormalNet method)
(Periodic method)
(Poisson method)
(Polynomial method)
(Predictive method)
(Product method)
(RBF method)
(RationalQuadratic method)
(SparseGPRegression method)
(StudentTNet method)
(Sum method)
(VariationalGP method)
(VariationalSparseGP method)
(VerticalScaling method)
(Warping method)
(WhiteNoise method)
frame_num (EKFState attribute)
(Measurement attribute)
FullyConnected (class in pyro.contrib.cevae)
G
Gamma (class in pyro.distributions)
GammaGaussianHMM (class in pyro.distributions)
GammaPoisson (class in pyro.distributions)
Gaussian (class in pyro.contrib.gp.likelihoods)
(class in pyro.ops.gaussian)
gaussian_tensordot() (in module pyro.ops.gaussian)
GaussianHMM (class in pyro.distributions)
GaussianMRF (class in pyro.distributions)
GaussianScaleMixture (class in pyro.distributions)
gelman_rubin() (in module pyro.ops.stats)
generator() (MarkovMessenger method)
GenericLGSSM (class in pyro.contrib.timeseries.lgssm)
GenericLGSSMWithGPNoiseModel (class in pyro.contrib.timeseries.lgssmgp)
geodesic_difference() (DynamicModel method)
(Measurement method)
Geometric (class in pyro.distributions)
get_all_param_names() (ParamStoreDict method)
get_base_dist() (AutoContinuous method)
(AutoDiagonalNormal method)
(AutoMultivariateNormal method)
(AutoNormalizingFlow method)
get_class() (DistributionNet static method)
get_covariance() (WelfordCovariance method)
get_data_directory() (in module pyro.contrib.examples.util)
get_data_loader() (in module pyro.contrib.examples.util)
get_dist() (DependentMaternGP method)
(GenericLGSSM method)
(GenericLGSSMWithGPNoiseModel method)
(IndependentMaternGP method)
(LinearlyCoupledMaternGP method)
(TimeSeriesModel method)
get_empirical() (SMCFilter method)
get_ESS() (Importance method)
get_log_normalizer() (Importance method)
get_named_particles() (SVGD method)
get_normalized_weights() (Importance method)
get_param() (ParamStoreDict method)
get_param_store() (in module pyro.contrib.minipyro)
(in module pyro.primitives)
get_permutation() (ConditionalAutoRegressiveNN method)
get_posterior() (AutoContinuous method)
(AutoDiagonalNormal method)
(AutoLaplaceApproximation method)
(AutoLowRankMultivariateNormal method)
(AutoMultivariateNormal method)
(AutoNormalizingFlow method)
get_samples() (MCMC method)
(Predictive method)
get_state() (DualAveraging method)
(ParamStoreDict method)
(PyroOptim method)
get_step() (MixedMultiOptimizer method)
(MultiOptimizer method)
(Newton method)
get_trace() (trace method)
(TraceHandler method)
(TraceMessenger method)
get_transform() (AutoContinuous method)
(AutoDiagonalNormal method)
(AutoMultivariateNormal method)
(AutoNormalizingFlow method)
get_vectorized_trace() (Predictive method)
GPLVM (class in pyro.contrib.gp.models.gplvm)
GPModel (class in pyro.contrib.gp.models.model)
GPRegression (class in pyro.contrib.gp.models.gpr)
Group (class in pyro.contrib.easyguide.easyguide)
group() (EasyGuide method)
Guide (class in pyro.contrib.cevae)
guide (Group attribute)
guide() (EasyGuide method)
(GPLVM method)
(GPModel method)
(GPRegression method)
(SparseGPRegression method)
(VariationalGP method)
(VariationalSparseGP method)
Gumbel (class in pyro.distributions)
H
HalfCauchy (class in pyro.distributions)
HalfNormal (class in pyro.distributions)
has_enumerate_support (BetaBinomial attribute)
(Distribution attribute)
(Empirical attribute)
(SpanningTree attribute)
has_rsample (Delta attribute)
(Distribution attribute)
(GaussianHMM attribute)
(GaussianScaleMixture attribute)
(IndependentHMM attribute)
(InverseGamma attribute)
(LKJCorrCholesky attribute)
(LinearHMM attribute)
(MaskedMixture attribute)
(MixtureOfDiagNormals attribute)
(MixtureOfDiagNormalsSharedCovariance attribute)
(MultivariateStudentT attribute)
(Rejector attribute)
(Stable attribute)
(VonMises attribute)
has_rsample_() (Distribution method)
HiddenLayer (class in pyro.contrib.bnn.hidden_layer)
HMC (class in pyro.infer.mcmc)
HMCForecaster (class in pyro.contrib.forecast.forecaster)
Householder (class in pyro.distributions.transforms)
householder() (in module pyro.distributions.transforms)
hpdi() (in module pyro.ops.stats)
I
iarange (class in pyro.primitives)
idct() (in module pyro.ops.tensor_utils)
identify_dense_edges() (in module pyro.poutine.trace_messenger)
Importance (class in pyro.infer.importance)
IMQSteinKernel (class in pyro.infer.svgd)
imresize() (in module pyro.contrib.examples.multi_mnist)
Independent (class in pyro.distributions)
independent() (TorchDistributionMixin method)
IndependentHMM (class in pyro.distributions)
IndependentMaternGP (class in pyro.contrib.timeseries.gp)
IndepMessenger (class in pyro.poutine.indep_messenger)
indices (IndepMessenger attribute)
infer_config() (in module pyro.poutine.handlers)
infer_discrete() (in module pyro.infer.discrete)
InferConfigMessenger (class in pyro.poutine.infer_config_messenger)
information_criterion() (TracePosterior method)
init() (EasyGuide method)
(SMCFilter method)
init_to_feasible() (in module pyro.infer.autoguide.initialization)
init_to_mean() (in module pyro.infer.autoguide.initialization)
init_to_median() (in module pyro.infer.autoguide.initialization)
init_to_sample() (in module pyro.infer.autoguide.initialization)
init_value (PyroParam attribute)
initial_params (HMC attribute)
initialize_model() (in module pyro.infer.mcmc.util)
InitMessenger (class in pyro.infer.autoguide.initialization)
innovation() (EKFState method)
inv_permutation (Permute attribute)
inverse_mass_matrix (HMC attribute)
InverseGamma (class in pyro.distributions)
irange (class in pyro.primitives)
is_validation_enabled() (in module pyro.poutine.util)
Isotropy (class in pyro.contrib.gp.kernels)
ite() (CEVAE method)
items() (ParamStoreDict method)
iter_sample() (GPRegression method)
iter_stochastic_nodes() (Trace method)
iterated() (in module pyro.distributions.transforms)
J
jacobian() (DifferentiableDynamicModel method)
(DifferentiableMeasurement method)
(Ncp method)
(Ncv method)
(PositionMeasurement method)
JitTrace_ELBO (class in pyro.contrib.minipyro)
(class in pyro.infer.trace_elbo)
JitTraceEnum_ELBO (class in pyro.infer.traceenum_elbo)
JitTraceGraph_ELBO (class in pyro.infer.tracegraph_elbo)
JitTraceMeanField_ELBO (class in pyro.infer.trace_mean_field_elbo)
K
Kernel (class in pyro.contrib.gp.kernels)
keys() (ParamStoreDict method)
L
LambdaLR() (in module pyro.optim.pytorch_optimizers)
Laplace (class in pyro.distributions)
laplace_approximation() (AutoLaplaceApproximation method)
laplace_eig() (in module pyro.contrib.oed.eig)
LaplaceNet (class in pyro.contrib.cevae)
LatentStableReparam (class in pyro.infer.reparam.stable)
leaky_relu() (in module pyro.distributions.transforms)
LeakyReLUTransform (class in pyro.distributions.transforms)
lfire_eig() (in module pyro.contrib.oed.eig)
lift() (in module pyro.poutine.handlers)
LiftMessenger (class in pyro.poutine.lift_messenger)
Likelihood (class in pyro.contrib.gp.likelihoods)
Linear (class in pyro.contrib.gp.kernels)
LinearHMM (class in pyro.distributions)
LinearHMMReparam (class in pyro.infer.reparam.hmm)
LinearlyCoupledMaternGP (class in pyro.contrib.timeseries.gp)
List (class in pyro.contrib.autoname.named)
lkj_constant() (LKJCorrCholesky method)
LKJCorrCholesky (class in pyro.distributions)
load() (in module pyro.contrib.examples.multi_mnist)
(ParamStoreDict method)
(PyroOptim method)
load_bart_od() (in module pyro.contrib.examples.bart)
load_fake_od() (in module pyro.contrib.examples.bart)
load_mnist() (in module pyro.contrib.examples.multi_mnist)
LocScaleReparam (class in pyro.infer.reparam.loc_scale)
log_abs_det_jacobian() (AffineAutoregressive method)
(AffineCoupling method)
(BatchNorm method)
(BlockAutoregressive method)
(CorrLCholeskyTransform method)
(DiscreteCosineTransform method)
(ELUTransform method)
(Householder method)
(LeakyReLUTransform method)
(LowerCholeskyAffine method)
(NeuralAutoregressive method)
(Permute method)
(Polynomial method)
(Radial method)
(Sylvester method)
(TanhTransform method)
log_density() (Gaussian method)
log_kernel_and_grad() (IMQSteinKernel method)
(RBFSteinKernel method)
(SteinKernel method)
log_likelihood_of_update() (EKFState method)
log_partition_function (SpanningTree attribute)
log_prob() (BetaBinomial method)
(Delta method)
(DependentMaternGP method)
(DirichletMultinomial method)
(DiscreteHMM method)
(Distribution method)
(EKFDistribution method)
(Empirical method)
(FoldedDistribution method)
(GammaGaussianHMM method)
(GammaPoisson method)
(GaussianHMM method)
(GaussianMRF method)
(GaussianScaleMixture method)
(GenericLGSSM method)
(GenericLGSSMWithGPNoiseModel method)
(IndependentHMM method)
(IndependentMaternGP method)
(LKJCorrCholesky method)
(LinearHMM method)
(LinearlyCoupledMaternGP method)
(MaskedMixture method)
(MixtureOfDiagNormals method)
(MixtureOfDiagNormalsSharedCovariance method)
(MultivariateStudentT method)
(Rejector method)
(RelaxedBernoulliStraightThrough method)
(RelaxedOneHotCategoricalStraightThrough method)
(SpanningTree method)
(Stable method)
(TimeSeriesModel method)
(Unit method)
(VonMises method)
(VonMises3D method)
(ZeroInflatedDistribution method)
log_prob_sum() (Trace method)
log_weights (Empirical attribute)
logging() (HMC method)
LogisticNormal (class in pyro.distributions)
LogNormal (class in pyro.distributions)
loss() (EnergyDistance method)
(RenyiELBO method)
(ReweightedWakeSleep method)
(TraceCausalEffect_ELBO method)
(TraceEnum_ELBO method)
(TraceGraph_ELBO method)
(TraceMeanField_ELBO method)
(TraceTMC_ELBO method)
(TraceTailAdaptive_ELBO method)
(Trace_ELBO method)
loss_and_grads() (JitTrace_ELBO method)
(JitTraceEnum_ELBO method)
(JitTraceGraph_ELBO method)
(JitTraceMeanField_ELBO method)
(RenyiELBO method)
(ReweightedWakeSleep method)
(TraceEnum_ELBO method)
(TraceGraph_ELBO method)
(TraceTMC_ELBO method)
(Trace_ELBO method)
loss_and_surrogate_loss() (JitTrace_ELBO method)
LowerCholeskyAffine (class in pyro.distributions.transforms)
LowRankMultivariateNormal (class in pyro.distributions)
LSH (class in pyro.contrib.tracking.hashing)
M
make_dist() (BernoulliNet static method)
(ExponentialNet static method)
(LaplaceNet static method)
(NormalNet static method)
(StudentTNet static method)
map_estimate() (EasyGuide method)
(Group method)
marginal() (TracePosterior method)
(TracePredictive method)
marginal_eig() (in module pyro.contrib.oed.eig)
MarginalAssignment (class in pyro.contrib.tracking.assignment)
MarginalAssignmentPersistent (class in pyro.contrib.tracking.assignment)
MarginalAssignmentSparse (class in pyro.contrib.tracking.assignment)
marginalize() (AffineNormal method)
(Gaussian method)
Marginals (class in pyro.infer.abstract_infer)
markov() (in module pyro.poutine.handlers)
MarkovMessenger (class in pyro.poutine.markov_messenger)
mask() (in module pyro.poutine.handlers)
(TorchDistributionMixin method)
MaskedMixture (class in pyro.distributions)
MaskMessenger (class in pyro.poutine.mask_messenger)
match() (ParamStoreDict method)
Matern32 (class in pyro.contrib.gp.kernels)
Matern52 (class in pyro.contrib.gp.kernels)
MaternKernel (class in pyro.ops.ssm_gp)
matmul() (in module pyro.ops.tensor_utils)
matrix_and_mvn_to_gaussian() (in module pyro.ops.gaussian)
matvecmul() (in module pyro.ops.tensor_utils)
mc_extend() (in module pyro.poutine.util)
MCMC (class in pyro.infer.mcmc.api)
mean (BetaBinomial attribute)
(Delta attribute)
(DirichletMultinomial attribute)
(EKFState attribute)
(Empirical attribute)
(GammaPoisson attribute)
(MaskedMixture attribute)
(Measurement attribute)
(MultivariateStudentT attribute)
(Stable attribute)
(VonMises attribute)
(ZeroInflatedDistribution attribute)
mean2pv() (DynamicModel method)
(Ncp method)
(Ncv method)
mean_pv (EKFState attribute)
Measurement (class in pyro.contrib.tracking.measurements)
median() (AutoContinuous method)
(AutoDelta method)
(AutoGuide method)
(AutoGuideList method)
(AutoNormal method)
merge_points() (in module pyro.contrib.tracking.hashing)
Messenger (class in pyro.contrib.minipyro)
(class in pyro.poutine.messenger)
MixedMultiOptimizer (class in pyro.optim.multi)
MixtureOfDiagNormals (class in pyro.distributions)
MixtureOfDiagNormalsSharedCovariance (class in pyro.distributions)
mk_dataset() (in module pyro.contrib.examples.multi_mnist)
mode (Parameterized attribute)
,
[1]
model (AutoGuide attribute)
Model (class in pyro.contrib.cevae)
model (EasyGuide attribute)
model() (ForecastingModel method)
(GPLVM method)
(GPModel method)
(GPRegression method)
(SparseGPRegression method)
(VariationalGP method)
(VariationalSparseGP method)
module() (in module pyro.primitives)
module_from_param_with_module_name() (in module pyro.params.param_store)
MultiClass (class in pyro.contrib.gp.likelihoods)
Multinomial (class in pyro.distributions)
MultiOptimizer (class in pyro.optim.multi)
MultiplicativeLR() (in module pyro.optim.pytorch_optimizers)
MultiStepLR() (in module pyro.optim.pytorch_optimizers)
MultivariateNormal (class in pyro.distributions)
MultivariateStudentT (class in pyro.distributions)
mvn_to_gaussian() (in module pyro.ops.gaussian)
N
name_count() (in module pyro.contrib.autoname)
(in module pyro.contrib.autoname.scoping)
NameCountMessenger (class in pyro.contrib.autoname.scoping)
named_parameters() (ParamStoreDict method)
named_pyro_params() (PyroModule method)
Ncp (class in pyro.contrib.tracking.dynamic_models)
NcpContinuous (class in pyro.contrib.tracking.dynamic_models)
NcpDiscrete (class in pyro.contrib.tracking.dynamic_models)
Ncv (class in pyro.contrib.tracking.dynamic_models)
NcvContinuous (class in pyro.contrib.tracking.dynamic_models)
NcvDiscrete (class in pyro.contrib.tracking.dynamic_models)
nearby() (LSH method)
NegativeBinomial (class in pyro.distributions)
neural_autoregressive() (in module pyro.distributions.transforms)
NeuralAutoregressive (class in pyro.distributions.transforms)
NeuTraReparam (class in pyro.infer.reparam.neutra)
Newton (class in pyro.optim.multi)
newton_step() (in module pyro.ops.newton)
newton_step_1d() (in module pyro.ops.newton)
newton_step_2d() (in module pyro.ops.newton)
newton_step_3d() (in module pyro.ops.newton)
next_context() (IndepMessenger method)
next_fast_len() (in module pyro.ops.tensor_utils)
nmc_eig() (in module pyro.contrib.oed.eig)
NonlocalExit
nonreparam_stochastic_nodes (Trace attribute)
Normal (class in pyro.distributions)
NormalNet (class in pyro.contrib.cevae)
num_process_noise_parameters (DynamicModel attribute)
num_steps (HMC attribute)
NUTS (class in pyro.infer.mcmc)
O
Object (class in pyro.contrib.autoname.named)
observation_nodes (Trace attribute)
OMTMultivariateNormal (class in pyro.distributions)
OneCycleLR() (in module pyro.optim.pytorch_optimizers)
OneHotCategorical (class in pyro.distributions)
P
pack_tensors() (Trace method)
param() (in module pyro.contrib.minipyro)
(in module pyro.primitives)
param_() (Object method)
param_name() (ParamStoreDict method)
param_nodes (Trace attribute)
param_with_module_name() (in module pyro.params.param_store)
Parameterized (class in pyro.contrib.gp)
(class in pyro.contrib.gp.parameterized)
ParamStoreDict (class in pyro.params.param_store)
Pareto (class in pyro.distributions)
Periodic (class in pyro.contrib.gp.kernels)
periodic_cumsum() (in module pyro.ops.tensor_utils)
periodic_features() (in module pyro.ops.tensor_utils)
periodic_repeat() (in module pyro.ops.tensor_utils)
Permute (class in pyro.distributions.transforms)
permute() (in module pyro.distributions.transforms)
pi() (in module pyro.ops.stats)
Planar (class in pyro.distributions.transforms)
planar() (in module pyro.distributions.transforms)
plate (class in pyro.primitives)
plate() (EasyGuide method)
(in module pyro.contrib.minipyro)
plate_stack() (in module pyro.primitives)
PlateMessenger (class in pyro.contrib.minipyro)
(class in pyro.poutine.plate_messenger)
Poisson (class in pyro.contrib.gp.likelihoods)
(class in pyro.distributions)
Polynomial (class in pyro.contrib.gp.kernels)
(class in pyro.distributions.transforms)
polynomial() (in module pyro.distributions.transforms)
PositionMeasurement (class in pyro.contrib.tracking.measurements)
posterior_eig() (in module pyro.contrib.oed.eig)
postprocess_message() (Messenger method)
(trace method)
potential_grad() (in module pyro.ops.integrator)
precision_matrix (MultivariateStudentT attribute)
predecessors() (Trace method)
predict() (EKFState method)
(ForecastingModel method)
Predictive (class in pyro.infer.predictive)
prefix_condition() (GaussianHMM method)
print_and_log() (in module pyro.contrib.examples.util)
prior (PyroSample attribute)
process_covariance() (MaternKernel method)
process_message() (block method)
(Messenger method)
(PlateMessenger method)
(replay method)
process_noise_cov() (DynamicModel method)
(Ncp method)
(NcpContinuous method)
(NcpDiscrete method)
(Ncv method)
(NcvContinuous method)
(NcvDiscrete method)
process_noise_dist() (DynamicModel method)
Product (class in pyro.contrib.gp.kernels)
prune_subsample_sites() (in module pyro.poutine.util)
psis_diagnostic() (in module pyro.infer.importance)
pyro.contrib.autoname (module)
pyro.contrib.autoname.named (module)
pyro.contrib.autoname.scoping (module)
pyro.contrib.bnn (module)
pyro.contrib.bnn.hidden_layer (module)
pyro.contrib.cevae (module)
pyro.contrib.easyguide (module)
pyro.contrib.examples.bart (module)
pyro.contrib.examples.multi_mnist (module)
pyro.contrib.examples.util (module)
pyro.contrib.forecast (module)
pyro.contrib.forecast.evaluate (module)
pyro.contrib.forecast.forecaster (module)
pyro.contrib.gp (module)
pyro.contrib.gp.kernels (module)
pyro.contrib.gp.likelihoods (module)
pyro.contrib.gp.models.gplvm (module)
pyro.contrib.gp.models.gpr (module)
pyro.contrib.gp.models.model (module)
pyro.contrib.gp.models.sgpr (module)
pyro.contrib.gp.models.vgp (module)
pyro.contrib.gp.models.vsgp (module)
pyro.contrib.gp.parameterized (module)
pyro.contrib.gp.util (module)
pyro.contrib.minipyro (module)
pyro.contrib.oed (module)
pyro.contrib.oed.eig (module)
pyro.contrib.oed.glmm (module)
pyro.contrib.timeseries (module)
pyro.contrib.timeseries.base (module)
pyro.contrib.timeseries.gp (module)
pyro.contrib.timeseries.lgssm (module)
pyro.contrib.timeseries.lgssmgp (module)
pyro.contrib.tracking (module)
pyro.contrib.tracking.assignment (module)
pyro.contrib.tracking.distributions (module)
pyro.contrib.tracking.dynamic_models (module)
pyro.contrib.tracking.extended_kalman_filter (module)
pyro.contrib.tracking.hashing (module)
pyro.contrib.tracking.measurements (module)
pyro.distributions.torch (module)
pyro.infer.abstract_infer (module)
pyro.infer.autoguide (module)
pyro.infer.autoguide.initialization (module)
pyro.infer.discrete (module)
pyro.infer.elbo (module)
pyro.infer.energy_distance (module)
pyro.infer.importance (module)
pyro.infer.predictive (module)
pyro.infer.renyi_elbo (module)
pyro.infer.reparam (module)
pyro.infer.reparam.conjugate (module)
pyro.infer.reparam.discrete_cosine (module)
pyro.infer.reparam.hmm (module)
pyro.infer.reparam.loc_scale (module)
pyro.infer.reparam.neutra (module)
pyro.infer.reparam.reparam (module)
pyro.infer.reparam.stable (module)
pyro.infer.reparam.studentt (module)
pyro.infer.reparam.transform (module)
pyro.infer.rws (module)
pyro.infer.smcfilter (module)
pyro.infer.svgd (module)
pyro.infer.svi (module)
pyro.infer.trace_elbo (module)
pyro.infer.trace_mean_field_elbo (module)
pyro.infer.trace_tail_adaptive_elbo (module)
pyro.infer.traceenum_elbo (module)
pyro.infer.tracegraph_elbo (module)
pyro.infer.tracetmc_elbo (module)
pyro.nn.module (module)
pyro.ops.dual_averaging (module)
pyro.ops.einsum (module)
pyro.ops.gaussian (module)
pyro.ops.indexing (module)
pyro.ops.integrator (module)
pyro.ops.newton (module)
pyro.ops.ssm_gp (module)
pyro.ops.stats (module)
pyro.ops.tensor_utils (module)
pyro.ops.welford (module)
pyro.optim.adagrad_rmsprop (module)
pyro.optim.clipped_adam (module)
pyro.optim.lr_scheduler (module)
pyro.optim.multi (module)
pyro.optim.optim (module)
pyro.optim.pytorch_optimizers (module)
pyro.params.param_store (module)
pyro.poutine.block_messenger (module)
pyro.poutine.broadcast_messenger (module)
pyro.poutine.condition_messenger (module)
pyro.poutine.do_messenger (module)
pyro.poutine.enum_messenger (module)
pyro.poutine.escape_messenger (module)
pyro.poutine.handlers (module)
pyro.poutine.indep_messenger (module)
pyro.poutine.infer_config_messenger (module)
pyro.poutine.lift_messenger (module)
pyro.poutine.markov_messenger (module)
pyro.poutine.mask_messenger (module)
pyro.poutine.messenger (module)
pyro.poutine.plate_messenger (module)
pyro.poutine.reentrant_messenger (module)
pyro.poutine.reparam_messenger (module)
pyro.poutine.replay_messenger (module)
pyro.poutine.runtime (module)
pyro.poutine.scale_messenger (module)
pyro.poutine.seed_messenger (module)
pyro.poutine.subsample_messenger (module)
pyro.poutine.trace_messenger (module)
pyro.poutine.uncondition_messenger (module)
pyro.poutine.util (module)
pyro.primitives (module)
pyro_method() (in module pyro.nn.module)
PyroLRScheduler (class in pyro.optim.lr_scheduler)
PyroModule (class in pyro.nn.module)
PyroMultiOptimizer (class in pyro.optim.multi)
PyroOptim (class in pyro.optim.optim)
PyroParam (class in pyro.nn.module)
PyroSample (class in pyro.nn.module)
Q
Q() (Sylvester method)
quantile() (in module pyro.ops.stats)
quantiles() (AutoContinuous method)
(AutoNormal method)
queue() (in module pyro.poutine.handlers)
R
R() (Sylvester method)
Radial (class in pyro.distributions.transforms)
radial() (in module pyro.distributions.transforms)
random_module() (in module pyro.primitives)
rate (GammaPoisson attribute)
(InverseGamma attribute)
(ZeroInflatedPoisson attribute)
RationalQuadratic (class in pyro.contrib.gp.kernels)
RBF (class in pyro.contrib.gp.kernels)
RBFSteinKernel (class in pyro.infer.svgd)
ReduceLROnPlateau() (in module pyro.optim.pytorch_optimizers)
ReentrantMessenger (class in pyro.poutine.reentrant_messenger)
register() (pyro.poutine.messenger.Messenger class method)
Rejector (class in pyro.distributions)
RelaxedBernoulli (class in pyro.distributions)
RelaxedBernoulliStraightThrough (class in pyro.distributions)
RelaxedOneHotCategorical (class in pyro.distributions)
RelaxedOneHotCategoricalStraightThrough (class in pyro.distributions)
remove() (LSH method)
remove_node() (Trace method)
RenyiELBO (class in pyro.infer.renyi_elbo)
Reparam (class in pyro.infer.reparam.reparam)
reparam() (in module pyro.poutine.handlers)
(NeuTraReparam method)
reparameterized_nodes (Trace attribute)
ReparamHandler (class in pyro.poutine.reparam_messenger)
ReparamMessenger (class in pyro.poutine.reparam_messenger)
repeated_matmul() (in module pyro.ops.tensor_utils)
replace_param() (ParamStoreDict method)
replay (class in pyro.contrib.minipyro)
replay() (in module pyro.poutine.handlers)
ReplayMessenger (class in pyro.poutine.replay_messenger)
resample() (in module pyro.ops.stats)
reset() (DualAveraging method)
(WelfordCovariance method)
reset_parameters() (Householder method)
(Planar method)
(Polynomial method)
(Radial method)
reset_parameters2() (Sylvester method)
reset_stack() (NonlocalExit method)
reshape() (AffineNormal method)
(Gaussian method)
(TorchDistributionMixin method)
ReweightedWakeSleep (class in pyro.infer.rws)
RMSprop() (in module pyro.optim.pytorch_optimizers)
Rprop() (in module pyro.optim.pytorch_optimizers)
rsample() (AVFMultivariateNormal method)
(Delta method)
(Gaussian method)
(GaussianHMM method)
(GaussianScaleMixture method)
(IndependentHMM method)
(LinearHMM method)
(MaskedMixture method)
(MixtureOfDiagNormals method)
(MixtureOfDiagNormalsSharedCovariance method)
(MultivariateStudentT method)
(OMTMultivariateNormal method)
(Rejector method)
(RelaxedBernoulliStraightThrough method)
(RelaxedOneHotCategoricalStraightThrough method)
(Stable method)
rsample_posterior() (GaussianHMM method)
run (MCMC attribute)
run() (SVI method)
(TracePosterior method)
S
S() (Sylvester method)
sample() (BetaBinomial method)
(DirichletMultinomial method)
(Distribution method)
(Empirical method)
(GammaPoisson method)
(Group method)
(HMC method)
(LKJCorrCholesky method)
(MaskedMixture method)
(NUTS method)
(SpanningTree method)
(Unit method)
(VonMises method)
(ZeroInflatedDistribution method)
(in module pyro.contrib.minipyro)
(in module pyro.primitives)
sample_() (Object method)
sample_latent() (AutoContinuous method)
(AutoGuide method)
sample_multi() (in module pyro.contrib.examples.multi_mnist)
sample_one() (in module pyro.contrib.examples.multi_mnist)
sample_posterior() (TraceEnum_ELBO method)
sample_saved() (TraceEnumSample_ELBO method)
sample_size (Empirical attribute)
save() (ParamStoreDict method)
(PyroOptim method)
scale() (in module pyro.poutine.handlers)
scale_tril (MultivariateStudentT attribute)
ScaleMessenger (class in pyro.poutine.scale_messenger)
scope() (in module pyro.contrib.autoname)
(in module pyro.contrib.autoname.scoping)
ScopeMessenger (class in pyro.contrib.autoname.scoping)
score_parts() (Distribution method)
(Rejector method)
seed (class in pyro.contrib.minipyro)
seed() (in module pyro.poutine.handlers)
SeedMessenger (class in pyro.poutine.seed_messenger)
set_data() (GPModel method)
set_mode() (Parameterized method)
,
[1]
set_prior() (Parameterized method)
,
[1]
set_state() (ParamStoreDict method)
(PyroOptim method)
setdefault() (ParamStoreDict method)
setup() (HMC method)
SGD() (in module pyro.optim.pytorch_optimizers)
shape() (TorchDistributionMixin method)
share_memory() (AdagradRMSProp method)
sign (AffineAutoregressive attribute)
(CorrLCholeskyTransform attribute)
(ELUTransform attribute)
(LeakyReLUTransform attribute)
(TanhTransform attribute)
site_is_subsample() (in module pyro.poutine.util)
SMCFilter (class in pyro.infer.smcfilter)
SMCState (class in pyro.infer.smcfilter)
SpanningTree (class in pyro.distributions)
SparseAdam() (in module pyro.optim.pytorch_optimizers)
SparseGPRegression (class in pyro.contrib.gp.models.sgpr)
split_gelman_rubin() (in module pyro.ops.stats)
Stable (class in pyro.distributions)
StableReparam (class in pyro.infer.reparam.stable)
stationary_covariance() (MaternKernel method)
SteinKernel (class in pyro.infer.svgd)
step() (AdagradRMSProp method)
(ClippedAdam method)
(DualAveraging method)
(MixedMultiOptimizer method)
(MultiOptimizer method)
(PyroLRScheduler method)
(PyroMultiOptimizer method)
(SMCFilter method)
(SVGD method)
(SVI method)
,
[1]
step_size (HMC attribute)
StepLR() (in module pyro.optim.pytorch_optimizers)
stochastic_nodes (Trace attribute)
StudentT (class in pyro.distributions)
StudentTNet (class in pyro.contrib.cevae)
StudentTReparam (class in pyro.infer.reparam.studentt)
subsample() (in module pyro.primitives)
SubsampleMessenger (class in pyro.poutine.subsample_messenger)
successors() (Trace method)
Sum (class in pyro.contrib.gp.kernels)
summary() (MCMC method)
support (BetaBinomial attribute)
(Delta attribute)
(DirichletMultinomial attribute)
(DiscreteHMM attribute)
(Empirical attribute)
(FoldedDistribution attribute)
(GammaGaussianHMM attribute)
(GammaPoisson attribute)
(GaussianHMM attribute)
(IndependentHMM attribute)
(InverseGamma attribute)
(LKJCorrCholesky attribute)
(LinearHMM attribute)
(MaskedMixture attribute)
(MultivariateStudentT attribute)
(SpanningTree attribute)
(Stable attribute)
(Unit attribute)
(VonMises attribute)
(VonMises3D attribute)
(ZeroInflatedNegativeBinomial attribute)
(ZeroInflatedPoisson attribute)
support() (Marginals method)
SVGD (class in pyro.infer.svgd)
SVI (class in pyro.contrib.minipyro)
(class in pyro.infer.svi)
Sylvester (class in pyro.distributions.transforms)
sylvester() (in module pyro.distributions.transforms)
symbolize_dims() (Trace method)
SymmetricStableReparam (class in pyro.infer.reparam.stable)
T
t_dist() (Guide method)
(Model method)
tanh() (in module pyro.distributions.transforms)
TanhTransform (class in pyro.distributions.transforms)
time (EKFState attribute)
(Measurement attribute)
time_plate (ForecastingModel attribute)
TimeSeriesModel (class in pyro.contrib.timeseries.base)
to_event() (TorchDistributionMixin method)
to_gaussian() (AffineNormal method)
to_pyro_module_() (in module pyro.nn.module)
to_script_module() (CEVAE method)
topological_sort() (Trace method)
TorchDistribution (class in pyro.distributions)
TorchDistributionMixin (class in pyro.distributions.torch_distribution)
TorchMultiOptimizer (class in pyro.optim.multi)
trace (class in pyro.contrib.minipyro)
Trace (class in pyro.poutine)
trace (TraceHandler attribute)
trace() (in module pyro.ops.jit)
(in module pyro.poutine.handlers)
Trace_ELBO (class in pyro.infer.trace_elbo)
Trace_ELBO() (in module pyro.contrib.minipyro)
TraceCausalEffect_ELBO (class in pyro.contrib.cevae)
TraceEnum_ELBO (class in pyro.infer.traceenum_elbo)
TraceEnumSample_ELBO (class in pyro.infer.discrete)
TraceGraph_ELBO (class in pyro.infer.tracegraph_elbo)
TraceHandler (class in pyro.poutine.trace_messenger)
TraceMeanField_ELBO (class in pyro.infer.trace_mean_field_elbo)
TraceMessenger (class in pyro.poutine.trace_messenger)
TracePosterior (class in pyro.infer.abstract_infer)
TracePredictive (class in pyro.infer.abstract_infer)
TraceTailAdaptive_ELBO (class in pyro.infer.trace_tail_adaptive_elbo)
TraceTMC_ELBO (class in pyro.infer.tracetmc_elbo)
train() (in module pyro.contrib.gp.util)
transform_sample() (NeuTraReparam method)
TransformedDistribution (class in pyro.distributions)
Transforming (class in pyro.contrib.gp.kernels)
TransformModule (class in pyro.distributions)
TransformReparam (class in pyro.infer.reparam.transform)
transition_matrix() (MaternKernel method)
transition_matrix_and_covariance() (MaternKernel method)
triangular_solve() (in module pyro.ops.tensor_utils)
try_add() (ApproxSet method)
U
u() (Householder method)
ubersum() (in module pyro.ops.contract)
uncondition() (in module pyro.poutine.handlers)
UnconditionMessenger (class in pyro.poutine.uncondition_messenger)
Uniform (class in pyro.distributions)
Unit (class in pyro.distributions)
unregister() (pyro.poutine.messenger.Messenger class method)
update() (EKFState method)
(WelfordCovariance method)
user_param_name() (in module pyro.params.param_store)
V
validate_edges() (SpanningTree method)
validation_enabled() (in module pyro.primitives)
values() (ParamStoreDict method)
variance (BetaBinomial attribute)
(Delta attribute)
(DirichletMultinomial attribute)
(Empirical attribute)
(GammaPoisson attribute)
(MaskedMixture attribute)
(MultivariateStudentT attribute)
(Stable attribute)
(VonMises attribute)
(ZeroInflatedDistribution attribute)
VariationalGP (class in pyro.contrib.gp.models.vgp)
VariationalSparseGP (class in pyro.contrib.gp.models.vsgp)
vectorize() (in module pyro.infer.svgd)
vectorized (CondIndepStackFrame attribute)
vectorized_importance_weights() (in module pyro.infer.importance)
velocity_verlet() (in module pyro.ops.integrator)
VerticalScaling (class in pyro.contrib.gp.kernels)
vi_eig() (in module pyro.contrib.oed.eig)
Vindex (class in pyro.ops.indexing)
vindex() (in module pyro.ops.indexing)
vnmc_eig() (in module pyro.contrib.oed.eig)
volume_preserving (Householder attribute)
(LowerCholeskyAffine attribute)
(Permute attribute)
VonMises (class in pyro.distributions)
VonMises3D (class in pyro.distributions)
W
waic() (in module pyro.ops.stats)
Warping (class in pyro.contrib.gp.kernels)
Weibull (class in pyro.distributions)
WelfordCovariance (class in pyro.ops.welford)
WhiteNoise (class in pyro.contrib.gp.kernels)
X
x_dist() (Model method)
Y
y_dist() (Guide method)
(Model method)
y_mean() (Model method)
Z
z_dist() (Guide method)
(Model method)
ZeroInflatedDistribution (class in pyro.distributions)
ZeroInflatedNegativeBinomial (class in pyro.distributions)
ZeroInflatedPoisson (class in pyro.distributions)
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