1.0.0
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
Easy Custom Guides
Gaussian Processes
Mini Pyro
Optimal Experiment Design
Time Series
Tracking
Pyro
Docs
»
Index
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Index
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__add__() (Gaussian method)
__call__() (Adam method)
(Distribution method)
(JitTrace_ELBO method)
(Messenger method)
(PyroLRScheduler method)
(PyroOptim method)
(TorchDistributionMixin method)
__getitem__() (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_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)
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)
(GammaPoisson attribute)
(GaussianHMM attribute)
(GaussianMRF attribute)
(GaussianScaleMixture attribute)
(InverseGamma attribute)
(LKJCorrCholesky attribute)
(MaskedMixture attribute)
(MixtureOfDiagNormals attribute)
(MixtureOfDiagNormalsSharedCovariance attribute)
(OMTMultivariateNormal attribute)
(SpanningTree attribute)
(Unit attribute)
(VonMises attribute)
(VonMises3D 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)
autoregressive (AffineAutoregressive attribute)
(BlockAutoregressive attribute)
(Polynomial attribute)
AutoRegressiveNN (class in pyro.nn.auto_reg_nn)
AVFMultivariateNormal (class in pyro.distributions)
B
BackwardSampleMessenger (class in pyro.infer.traceenum_elbo)
bandwidth_factor (IMQSteinKernel attribute)
(RBFSteinKernel attribute)
batch_shape (Gaussian attribute)
BatchNorm (class in pyro.distributions.transforms)
batchnorm() (in module pyro.distributions.transforms)
Bernoulli (class in pyro.distributions)
Beta (class in pyro.distributions)
BetaBinomial (class in pyro.distributions)
bijective (AffineAutoregressive attribute)
(AffineCoupling attribute)
(BatchNorm attribute)
(BlockAutoregressive attribute)
(ConditionalPlanar attribute)
(CorrLCholeskyTransform attribute)
(ELUTransform attribute)
(Householder attribute)
(LeakyReLUTransform 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)
block_autoregressive() (in module pyro.distributions.transforms)
BlockAutoregressive (class in pyro.distributions.transforms)
BlockMessenger (class in pyro.poutine.block_messenger)
broadcast() (in module pyro.poutine)
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)
Chi2 (class in pyro.distributions)
cleanup() (HMC method)
clear() (in module pyro.nn.module)
(ParamStoreDict method)
clear_cache() (HMC method)
clear_param_store() (in module pyro)
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)
(ELUTransform attribute)
(Householder attribute)
(LeakyReLUTransform attribute)
(NeuralAutoregressive attribute)
(Permute attribute)
(Planar attribute)
(Polynomial attribute)
(Radial attribute)
(Sylvester attribute)
(TanhTransform attribute)
Combination (class in pyro.contrib.gp.kernels)
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)
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)
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)
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)
crps_empirical() (in module pyro.ops.stats)
CyclicLR() (in module pyro.optim.pytorch_optimizers)
D
default_process_message() (in module pyro.poutine.runtime)
Delta (class in pyro.distributions)
DependentMaternGP (class in pyro.contrib.timeseries.gp)
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)
(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)
DiscreteHMM (class in pyro.distributions)
Distribution (class in pyro.distributions)
do() (in module pyro.poutine)
domain (AffineAutoregressive attribute)
(AffineCoupling attribute)
(BatchNorm attribute)
(BlockAutoregressive attribute)
(ConditionalPlanar attribute)
(CorrLCholeskyTransform attribute)
(ELUTransform attribute)
(Householder attribute)
(LeakyReLUTransform attribute)
(NeuralAutoregressive attribute)
(Planar attribute)
(Polynomial attribute)
(Radial attribute)
(Sylvester attribute)
(TanhTransform attribute)
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)
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)
(in module pyro.poutine.util)
enum() (in module pyro.poutine)
enum_extend() (in module pyro.poutine.util)
enumerate_support() (BetaBinomial method)
(Distribution method)
(Empirical method)
(SpanningTree method)
escape() (in module pyro.poutine)
EscapeMessenger (class in pyro.poutine.escape_messenger)
evaluate_loss() (SVI method)
event_dim (AffineAutoregressive attribute)
(AffineCoupling attribute)
(BatchNorm attribute)
(BlockAutoregressive attribute)
(ConditionalPlanar attribute)
(CorrLCholeskyTransform attribute)
(Householder 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() (Gaussian method)
event_shape (Empirical attribute)
expand() (BetaBinomial method)
(Delta method)
(DirichletMultinomial method)
(DiscreteHMM method)
(FoldedDistribution method)
(GammaPoisson method)
(Gaussian method)
(GaussianHMM method)
(GaussianMRF method)
(InverseGamma method)
(LKJCorrCholesky method)
(MaskedMixture method)
(MixtureOfDiagNormals method)
(MixtureOfDiagNormalsSharedCovariance method)
(Unit method)
(VonMises method)
(VonMises3D method)
(ZeroInflatedPoisson 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)
F
factor() (in module pyro)
filter() (DiscreteHMM method)
(GaussianHMM method)
filter_states() (EKFDistribution method)
FisherSnedecor (class in pyro.distributions)
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)
format_shapes() (Trace method)
forward() (AutoCallable method)
(AutoContinuous method)
(AutoDelta method)
(AutoDiscreteParallel method)
(AutoGuideList method)
(AutoRegressiveNN method)
(Binary method)
(Brownian method)
(ConditionalAutoRegressiveNN method)
(Constant method)
(Coregionalize method)
(Cosine method)
(DynamicModel method)
(EasyGuide method)
(Exponent method)
(Exponential method)
(GPLVM method)
(GPModel method)
(GPRegression method)
(Gaussian method)
(Kernel method)
(Likelihood method)
(Linear method)
(Matern32 method)
(Matern52 method)
(MultiClass method)
(Ncp method)
(Ncv method)
(Periodic method)
(Poisson method)
(Polynomial method)
(Predictive method)
(Product method)
(RBF method)
(RationalQuadratic method)
(SparseGPRegression method)
(Sum method)
(VariationalGP method)
(VariationalSparseGP method)
(VerticalScaling method)
(Warping method)
(WhiteNoise method)
frame_num (EKFState attribute)
(Measurement attribute)
G
Gamma (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)
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_covariance() (WelfordCovariance 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)
(in module pyro.contrib.minipyro)
get_permutation() (ConditionalAutoRegressiveNN method)
get_posterior() (AutoContinuous method)
(AutoDiagonalNormal method)
(AutoIAFNormal method)
(AutoLaplaceApproximation method)
(AutoLowRankMultivariateNormal method)
(AutoMultivariateNormal 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_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 (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)
(GaussianScaleMixture attribute)
(InverseGamma attribute)
(LKJCorrCholesky attribute)
(MaskedMixture attribute)
(MixtureOfDiagNormals attribute)
(MixtureOfDiagNormalsSharedCovariance attribute)
(Rejector attribute)
(VonMises attribute)
HiddenLayer (class in pyro.contrib.bnn.hidden_layer)
HMC (class in pyro.infer.mcmc)
Householder (class in pyro.distributions.transforms)
householder() (in module pyro.distributions.transforms)
hpdi() (in module pyro.ops.stats)
I
identify_dense_edges() (in module pyro.poutine.trace_messenger)
Importance (class in pyro.infer.importance)
IMQSteinKernel (class in pyro.infer.svgd)
Independent (class in pyro.distributions)
independent() (TorchDistributionMixin method)
IndependentMaternGP (class in pyro.contrib.timeseries.gp)
IndepMessenger (class in pyro.poutine.indep_messenger)
indices (IndepMessenger attribute)
infer_config() (in module pyro.poutine)
infer_discrete() (in module pyro.infer.discrete)
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)
is_validation_enabled() (in module pyro.poutine.util)
Isotropy (class in pyro.contrib.gp.kernels)
items() (ParamStoreDict method)
iter_sample() (GPRegression method)
iter_stochastic_nodes() (Trace method)
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)
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)
LiftMessenger (class in pyro.poutine.lift_messenger)
Likelihood (class in pyro.contrib.gp.likelihoods)
Linear (class in pyro.contrib.gp.kernels)
LinearlyCoupledMaternGP (class in pyro.contrib.timeseries.gp)
List (class in pyro.contrib.autoname.named)
lkj_constant() (LKJCorrCholesky method)
LKJCorrCholesky (class in pyro.distributions)
load() (ParamStoreDict method)
(PyroOptim method)
log_abs_det_jacobian() (AffineAutoregressive method)
(AffineCoupling method)
(BatchNorm method)
(BlockAutoregressive method)
(CorrLCholeskyTransform method)
(ELUTransform method)
(Householder method)
(LeakyReLUTransform 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)
(GammaPoisson method)
(GaussianHMM method)
(GaussianMRF method)
(GaussianScaleMixture method)
(GenericLGSSM method)
(GenericLGSSMWithGPNoiseModel method)
(IndependentMaternGP method)
(LKJCorrCholesky method)
(LinearlyCoupledMaternGP method)
(MaskedMixture method)
(MixtureOfDiagNormals method)
(MixtureOfDiagNormalsSharedCovariance method)
(Rejector method)
(RelaxedBernoulliStraightThrough method)
(RelaxedOneHotCategoricalStraightThrough method)
(SpanningTree method)
(TimeSeriesModel method)
(Unit method)
(VonMises method)
(VonMises3D method)
(ZeroInflatedPoisson method)
log_prob_sum() (Trace method)
log_weights (Empirical attribute)
logging() (HMC method)
LogisticNormal (class in pyro.distributions)
LogNormal (class in pyro.distributions)
loss() (RenyiELBO method)
(TraceEnum_ELBO method)
(TraceGraph_ELBO method)
(TraceMeanField_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)
(TraceEnum_ELBO method)
(TraceGraph_ELBO method)
(Trace_ELBO method)
loss_and_surrogate_loss() (JitTrace_ELBO method)
LowRankMultivariateNormal (class in pyro.distributions)
LSH (class in pyro.contrib.tracking.hashing)
M
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() (Gaussian method)
Marginals (class in pyro.infer.abstract_infer)
markov() (in module pyro.poutine)
mask() (in module pyro.poutine)
(TorchDistributionMixin method)
MaskedMixture (class in pyro.distributions)
match() (ParamStoreDict method)
Matern32 (class in pyro.contrib.gp.kernels)
Matern52 (class in pyro.contrib.gp.kernels)
MaternKernel (class in pyro.ops.ssm_gp)
matrix_and_mvn_to_gaussian() (in module pyro.ops.gaussian)
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)
(VonMises attribute)
(ZeroInflatedPoisson 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)
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)
mode (Parameterized attribute)
,
[1]
model (AutoGuide attribute)
(EasyGuide attribute)
model() (GPLVM method)
(GPModel method)
(GPRegression method)
(SparseGPRegression method)
(VariationalGP method)
(VariationalSparseGP method)
module() (in module pyro)
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)
MultiStepLR() (in module pyro.optim.pytorch_optimizers)
MultivariateNormal (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)
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)
nmc_eig() (in module pyro.contrib.oed.eig)
NonlocalExit
nonreparam_stochastic_nodes (Trace attribute)
Normal (class in pyro.distributions)
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)
(in module pyro.contrib.minipyro)
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)
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)
plate() (EasyGuide method)
(in module pyro.contrib.minipyro)
PlateMessenger (class in pyro.contrib.minipyro)
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)
predecessors() (Trace method)
predict() (EKFState method)
Predictive (class in pyro.infer.predictive)
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.easyguide (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.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.importance (module)
pyro.infer.predictive (module)
pyro.infer.renyi_elbo (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.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.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.escape_messenger (module)
pyro.poutine.handlers (module)
pyro.poutine.indep_messenger (module)
pyro.poutine.lift_messenger (module)
pyro.poutine.messenger (module)
pyro.poutine.replay_messenger (module)
pyro.poutine.runtime (module)
pyro.poutine.scale_messenger (module)
pyro.poutine.trace_messenger (module)
pyro.poutine.util (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)
queue() (in module pyro.poutine)
R
R() (Sylvester method)
Radial (class in pyro.distributions.transforms)
radial() (in module pyro.distributions.transforms)
random_module() (in module pyro)
rate (GammaPoisson attribute)
(InverseGamma 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)
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)
reparameterized_nodes (Trace attribute)
replace_param() (ParamStoreDict method)
replay (class in pyro.contrib.minipyro)
replay() (in module pyro.poutine)
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() (Gaussian method)
(TorchDistributionMixin method)
RMSprop() (in module pyro.optim.pytorch_optimizers)
Rprop() (in module pyro.optim.pytorch_optimizers)
rsample() (AVFMultivariateNormal method)
(Delta method)
(GaussianScaleMixture method)
(MaskedMixture method)
(MixtureOfDiagNormals method)
(MixtureOfDiagNormalsSharedCovariance method)
(OMTMultivariateNormal method)
(Rejector method)
(RelaxedBernoulliStraightThrough method)
(RelaxedOneHotCategoricalStraightThrough 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)
(ZeroInflatedPoisson method)
(in module pyro)
(in module pyro.contrib.minipyro)
sample_() (Object method)
sample_latent() (AutoContinuous method)
(AutoGuide method)
sample_posterior() (TraceEnum_ELBO method)
sample_saved() (TraceEnumSample_ELBO method)
sample_size (Empirical attribute)
save() (ParamStoreDict method)
(PyroOptim method)
scale() (in module pyro.poutine)
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)
set_data() (GPModel method)
set_mode() (Parameterized method)
,
[1]
set_prior() (Parameterized method)
,
[1]
set_rng_seed() (in module pyro)
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 (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)
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)
successors() (Trace method)
Sum (class in pyro.contrib.gp.kernels)
summary() (MCMC method)
support (BetaBinomial attribute)
(Delta attribute)
(DirichletMultinomial attribute)
(Empirical attribute)
(FoldedDistribution attribute)
(GammaPoisson attribute)
(InverseGamma attribute)
(LKJCorrCholesky attribute)
(MaskedMixture attribute)
(SpanningTree attribute)
(Unit attribute)
(VonMises attribute)
(VonMises3D 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)
T
tanh() (in module pyro.distributions.transforms)
TanhTransform (class in pyro.distributions.transforms)
time (EKFState attribute)
(Measurement attribute)
TimeSeriesModel (class in pyro.contrib.timeseries.base)
to_event() (TorchDistributionMixin 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)
Trace_ELBO (class in pyro.infer.trace_elbo)
Trace_ELBO() (in module pyro.contrib.minipyro)
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)
train() (in module pyro.contrib.gp.util)
TransformedDistribution (class in pyro.distributions)
Transforming (class in pyro.contrib.gp.kernels)
TransformModule (class in pyro.distributions)
transition_matrix() (MaternKernel method)
transition_matrix_and_covariance() (MaternKernel method)
try_add() (ApproxSet method)
U
u() (Householder method)
ubersum() (in module pyro.ops.contract)
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)
values() (ParamStoreDict method)
variance (BetaBinomial attribute)
(Delta attribute)
(DirichletMultinomial attribute)
(Empirical attribute)
(GammaPoisson attribute)
(MaskedMixture attribute)
(VonMises attribute)
(ZeroInflatedPoisson 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)
(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)
Z
ZeroInflatedPoisson (class in pyro.distributions)
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