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 »
  • Numpyro documentation
  • Edit on GitHub

Numpyro documentation¶

Inference:

  • Markov Chain Monte Carlo (MCMC)
    • Hamiltonian Monte Carlo
    • MCMC Utilities
  • Stochastic Variational Inference (SVI)
    • ELBo

Distributions:

  • Base Distribution
    • Distribution
    • TransformedDistribution
  • Continuous Distributions
    • Beta
    • Cauchy
    • Chi2
    • Dirichlet
    • Exponential
    • Gamma
    • GaussianRandomWalk
    • HalfCauchy
    • HalfNormal
    • LKJCholesky
    • LogNormal
    • Normal
    • Pareto
    • StudentT
    • TruncatedCauchy
    • TruncatedNormal
    • Uniform
  • Discrete Distributions
    • Bernoulli
    • BernoulliLogits
    • BernoulliProbs
    • Binomial
    • BinomialLogits
    • BinomialProbs
    • Categorical
    • CategoricalLogits
    • CategoricalProbs
    • Multinomial
    • MultinomialLogits
    • MultinomialProbs
    • Poisson

Inference Primitives:

  • Pyro Primitives
  • Effect Handlers

Diagnostics:

  • Autocorrelation
  • Autocovariance
  • Effective Sample Size
  • Gelman Rubin
  • Split Gelman Rubin
  • HPDI
  • Summary

Indices and tables¶

  • Index
  • Search Page
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