chore(deps): update Turing requirement to 0.45.0 in /docs

[dependabot]

Updates the requirements on Turing to permit the latest version.

Release notes

Sourced from Turing's releases.

v0.45.0

Turing v0.45.0

Diff since v0.44.5

Breaking changes

Make FlexiChains the default chain type for MCMC sampling.

MCMCChains is still fully supported: you can specify chain_type=MCMCChains.Chains in the sample function to use it instead. However, it is no longer loaded as a dependency of Turing and re-exported (it is now an extension). That means that if you were previously importing MCMCChains via Turing, you will now have to import it directly.

Merged pull requests:

• Make FlexiChains the default chain type (#2743) (@​penelopeysm)
• add Claude stuff (#2822) (@​penelopeysm)

Closed issues:

• Rework sample() call stack to use LogDensityFunction (#2555)

Changelog

Sourced from Turing's changelog.

0.45.0

Breaking changes

Make FlexiChains the default chain type for MCMC sampling.

MCMCChains is still fully supported: you can specify chain_type=MCMCChains.Chains in the sample function to use it instead. However, it is no longer loaded as a dependency of Turing and re-exported (it is now an extension). That means that if you were previously importing MCMCChains via Turing, you will now have to import it directly.

0.44.5

Allow users to disable the post-sample hook by passing verbose=false keyword argument to sample.

0.44.4

Add post-sampling warning message when there are divergent transitions with HMC, NUTS or HMCDA.

0.44.3

Add compatibility with SciMLBase v3.

0.44.2

Fix a bug in v0.44 where extra keyword arguments passed to vi (e.g. callback) would cause Turing to error.

0.44.1

Re-export pointwise_logdensities and pointwise_prior_logdensities from DynamicPPL.

0.44.0

Breaking changes

Variational inference interface

The VI interface in Turing has been modified to make it more interoperable with the rest of Turing.

• The arguments to vi(...) are slightly different: instead of specifying a q_init argument (the initial variational approximation), you now directly pass a function that constructs this for you. For example, instead of

  q_init = q_meanfield_gaussian(model)
  vi(model, q_init, n_iters)

  you would now do

  vi(model, q_meanfield_gaussian, n_iters)

... (truncated)

Commits

• 18eedab Make FlexiChains the default chain type (#2743)
• 6df73f8 add Claude stuff (#2822)
• 84620b7 Allow post sample hook to be controlled by kwargs (#2821)
• 3475644 adding info_sampler_output method to track divergences (#2819)
• 3e6b26f Fix NUTS docstring formatting to match HMC and HMCDA style (#2818)
• cf25eae CompatHelper: bump compat for SciMLBase to 3, (keep existing compat) (#2802)
• 89b1ce0 Update README.md (#2817)
• 3f89e7c Update README.md (#2816)
• cbcb16d Add contribution policy (#2815)
• 2db06b5 Fix failing kwargs in VI (#2813)
• Additional commits viewable in compare view

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