Clean up CHANGELOG.md

CHANGELOG.md

@@ -8,19 +8,19 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 ### Added
 - `mypy` for search space and objectives
 - Class hierarchy for objectives
-- Deserialization is now also possible from optional class name abbreviations
-- `AdditiveKernel`, `LinearKernel`, `MaternKernel`, `PeriodicKernel`, 
+- Possibility to deserialize classes from optional class name abbreviations
+- Basic deserialization tests using different class type specifiers
+- - `AdditiveKernel`, `LinearKernel`, `MaternKernel`, `PeriodicKernel`, 
   `PiecewisePolynomialKernel`, `PolynomialKernel`, `ProductKernel`, `RBFKernel`, 
-  `RFFKernel`, `RQKernel`, `ScaleKernel` classes for specifying kernels
-- `GammaPrior`, `HalfCauchyPrior`, `NormalPrior`, `HalfNormalPrior`, `LogNormalPrior`
-  and `SmoothedBoxPrior` classes for specifying priors 
+  `RFFKernel`, `RQKernel`, `ScaleKernel` classes
 - `KernelFactory` protocol enabling context-dependent construction of kernels
 - Preset mechanism for `GaussianProcessSurrogate`
 - `hypothesis` strategies and roundtrip test for kernels, constraints, objectives,
   priors and acquisition functions
 - New acquisition functions: `qSR`, `qNEI`, `LogEI`, `qLogEI`, `qLogNEI`
+- `GammaPrior`, `HalfCauchyPrior`, `NormalPrior`, `HalfNormalPrior`, `LogNormalPrior`
+  and `SmoothedBoxPrior` classes
 - Serialization user guide
-- Basic deserialization tests using different class type specifiers
 - Environment variables user guide
 - Utility for estimating memory requirements of discrete product search space