corrected version in release notes; added details of ProposalDistribution options
### Version 0.0.19 ###
-Added a permute vertex
-Added the release notes text file to the repo
-
-### Version 0.0.20 ###
-
+* Added the release notes text file to the repo
+* Added a permute vertex
* Reorganised the factory methods for building `PosteriorSamplingAlgorithm` objects. The following are available and give you access to either a default implementation or, when you need more control over the configuration, a Builder object:
* `Keanu.Sampling.MetropolisHastings`
* `Keanu.Sampling.NUTS`
@@ -12,7 +9,7 @@ Added the release notes text file to the repo
* `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
+ * 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.
