Numpyro
v0.1.0
Inference:
Markov Chain Monte Carlo (MCMC)
Stochastic Variational Inference (SVI)
Distributions:
Base Distribution
Continuous Distributions
Discrete Distributions
Inference Primitives:
Pyro Primitives
Effect Handlers
Diagnostics:
Autocorrelation
Autocovariance
Effective Sample Size
Gelman Rubin
Split Gelman Rubin
HPDI
Summary
Numpyro
Docs
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Index
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Index
A
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B
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C
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D
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E
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F
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G
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H
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I
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L
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M
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N
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P
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R
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S
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T
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U
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V
A
arg_constraints (BernoulliLogits attribute)
(BernoulliProbs attribute)
(Beta attribute)
(BinomialLogits attribute)
(BinomialProbs attribute)
(CategoricalLogits attribute)
(CategoricalProbs attribute)
(Cauchy attribute)
(Chi2 attribute)
(Dirichlet attribute)
(Distribution attribute)
(Exponential attribute)
(Gamma attribute)
(GaussianRandomWalk attribute)
(HalfCauchy attribute)
(HalfNormal attribute)
(LKJCholesky attribute)
(LogNormal attribute)
(MultinomialLogits attribute)
(MultinomialProbs attribute)
(Normal attribute)
(Pareto attribute)
(Poisson attribute)
(StudentT attribute)
(TransformedDistribution attribute)
(TruncatedCauchy attribute)
(TruncatedNormal attribute)
(Uniform attribute)
autocorrelation() (in module numpyro.diagnostics)
autocovariance() (in module numpyro.diagnostics)
B
batch_shape (Distribution attribute)
Bernoulli() (in module numpyro.distributions.discrete)
BernoulliLogits (class in numpyro.distributions.discrete)
BernoulliProbs (class in numpyro.distributions.discrete)
Beta (class in numpyro.distributions.continuous)
Binomial() (in module numpyro.distributions.discrete)
BinomialLogits (class in numpyro.distributions.discrete)
BinomialProbs (class in numpyro.distributions.discrete)
block (class in numpyro.handlers)
C
Categorical() (in module numpyro.distributions.discrete)
CategoricalLogits (class in numpyro.distributions.discrete)
CategoricalProbs (class in numpyro.distributions.discrete)
Cauchy (class in numpyro.distributions.continuous)
Chi2 (class in numpyro.distributions.continuous)
D
Dirichlet (class in numpyro.distributions.continuous)
Distribution (class in numpyro.distributions.distribution)
E
effective_sample_size() (in module numpyro.diagnostics)
elbo() (in module numpyro.svi)
evaluate() (in module numpyro.svi.svi)
event_shape (Distribution attribute)
Exponential (class in numpyro.distributions.continuous)
F
fori_collect() (in module numpyro.util)
G
Gamma (class in numpyro.distributions.continuous)
GaussianRandomWalk (class in numpyro.distributions.continuous)
gelman_rubin() (in module numpyro.diagnostics)
get_trace() (trace method)
H
HalfCauchy (class in numpyro.distributions.continuous)
HalfNormal (class in numpyro.distributions.continuous)
hmc() (in module numpyro.mcmc)
HMCState (in module numpyro.mcmc)
hpdi() (in module numpyro.diagnostics)
I
init_fn() (in module numpyro.svi.svi)
init_kernel() (in module numpyro.mcmc.hmc)
initialize_model() (in module numpyro.hmc_util)
is_reparametrized (TransformedDistribution attribute)
L
LKJCholesky (class in numpyro.distributions.continuous)
log_prob() (BernoulliLogits method)
(BernoulliProbs method)
(Beta method)
(BinomialLogits method)
(BinomialProbs method)
(CategoricalLogits method)
(CategoricalProbs method)
(Cauchy method)
(Dirichlet method)
(Distribution method)
(Exponential method)
(Gamma method)
(GaussianRandomWalk method)
(HalfCauchy method)
(HalfNormal method)
(LKJCholesky method)
(MultinomialLogits method)
(MultinomialProbs method)
(Normal method)
(Poisson method)
(StudentT method)
(TransformedDistribution method)
(TruncatedCauchy method)
(TruncatedNormal method)
(Uniform method)
LogNormal (class in numpyro.distributions.continuous)
M
mcmc() (in module numpyro.mcmc)
mean (BernoulliLogits attribute)
(BernoulliProbs attribute)
(Beta attribute)
(BinomialLogits attribute)
(BinomialProbs attribute)
(CategoricalLogits attribute)
(CategoricalProbs attribute)
(Cauchy attribute)
(Dirichlet attribute)
(Distribution attribute)
(Exponential attribute)
(Gamma attribute)
(GaussianRandomWalk attribute)
(HalfCauchy attribute)
(HalfNormal attribute)
(LogNormal attribute)
(MultinomialLogits attribute)
(MultinomialProbs attribute)
(Normal attribute)
(Pareto attribute)
(Poisson attribute)
(StudentT attribute)
(TransformedDistribution attribute)
(TruncatedCauchy attribute)
(TruncatedNormal attribute)
(Uniform attribute)
Multinomial() (in module numpyro.distributions.discrete)
MultinomialLogits (class in numpyro.distributions.discrete)
MultinomialProbs (class in numpyro.distributions.discrete)
N
Normal (class in numpyro.distributions.continuous)
numpyro.handlers (module)
P
param() (in module numpyro.handlers)
Pareto (class in numpyro.distributions.continuous)
Poisson (class in numpyro.distributions.discrete)
postprocess_message() (trace method)
probs (BernoulliLogits attribute)
(BinomialLogits attribute)
(CategoricalLogits attribute)
(MultinomialLogits attribute)
process_message() (block method)
(replay method)
(seed method)
(substitute method)
R
reparametrized_params (Cauchy attribute)
(Distribution attribute)
(Exponential attribute)
(GaussianRandomWalk attribute)
(HalfCauchy attribute)
(HalfNormal attribute)
(LogNormal attribute)
(Normal attribute)
(StudentT attribute)
(TruncatedCauchy attribute)
(TruncatedNormal attribute)
(Uniform attribute)
replay (class in numpyro.handlers)
S
sample() (BernoulliLogits method)
(BernoulliProbs method)
(Beta method)
(BinomialLogits method)
(BinomialProbs method)
(CategoricalLogits method)
(CategoricalProbs method)
(Cauchy method)
(Dirichlet method)
(Distribution method)
(Exponential method)
(Gamma method)
(GaussianRandomWalk method)
(LKJCholesky method)
(MultinomialLogits method)
(MultinomialProbs method)
(Normal method)
(Poisson method)
(StudentT method)
(TransformedDistribution method)
(TruncatedCauchy method)
(TruncatedNormal method)
(Uniform method)
(in module numpyro.handlers)
sample_kernel() (in module numpyro.mcmc.hmc)
seed (class in numpyro.handlers)
split_gelman_rubin() (in module numpyro.diagnostics)
StudentT (class in numpyro.distributions.continuous)
substitute (class in numpyro.handlers)
summary() (in module numpyro.diagnostics)
support (BernoulliLogits attribute)
(BernoulliProbs attribute)
(Beta attribute)
(BinomialLogits attribute)
(BinomialProbs attribute)
(CategoricalLogits attribute)
(CategoricalProbs attribute)
(Cauchy attribute)
(Dirichlet attribute)
(Distribution attribute)
(Exponential attribute)
(Gamma attribute)
(GaussianRandomWalk attribute)
(LKJCholesky attribute)
(MultinomialLogits attribute)
(MultinomialProbs attribute)
(Normal attribute)
(Pareto attribute)
(Poisson attribute)
(StudentT attribute)
(TransformedDistribution attribute)
(TruncatedCauchy attribute)
(TruncatedNormal attribute)
(Uniform attribute)
svi() (in module numpyro.svi)
T
trace (class in numpyro.handlers)
TransformedDistribution (class in numpyro.distributions.distribution)
TruncatedCauchy (class in numpyro.distributions.continuous)
TruncatedNormal (class in numpyro.distributions.continuous)
U
Uniform (class in numpyro.distributions.continuous)
update_fn() (in module numpyro.svi.svi)
V
variance (BernoulliLogits attribute)
(BernoulliProbs attribute)
(Beta attribute)
(BinomialLogits attribute)
(BinomialProbs attribute)
(CategoricalLogits attribute)
(CategoricalProbs attribute)
(Cauchy attribute)
(Dirichlet attribute)
(Distribution attribute)
(Exponential attribute)
(Gamma attribute)
(GaussianRandomWalk attribute)
(HalfCauchy attribute)
(HalfNormal attribute)
(LogNormal attribute)
(MultinomialLogits attribute)
(MultinomialProbs attribute)
(Normal attribute)
(Pareto attribute)
(Poisson attribute)
(StudentT attribute)
(TransformedDistribution attribute)
(TruncatedCauchy attribute)
(TruncatedNormal attribute)
(Uniform attribute)
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