update release notes to remove need to specify latents for proposal distribution in MH builder
* `Keanu.Sampling.SimulatedAnnealing`
* `Keanu.Sampling.MCMC` (to automatically choose between `MetropolisHastings` and `NUTS`)
* The `PosteriorSamplingAlgorithm` objects are now immutable: you cannot set their values after construction.
-* When you choose a custom configuration of `MetropolisHastings` or `SimulatedAnnealing`, you must specify:
- * the proposal distribution - the default option has been removed. Options are `PriorProposalDistribution` and `GaussianProposalDistribution`
- * a proposal rejection strategy - options are `RollBackToCachedValuesOnRejection` and `RollbackAndCascadeOnRejection`
- * (in Python, this is done for you: you only have to pass in the set of latent vertices)
* `Hamiltonian` Monte Carlo has been removed: use `NUTS` instead which is an auto-tuning implementation of Hamiltonian Monte Carlo.
* The `PosteriorSamplingAlgorithm` and `FitnessFunction` interfaces requires a `ProbabilisticModel` as its argument instead of a `BayesianNetwork`
* You can create a `ProbabilisticModel` from a `BayesianNetwork`:
