Update CHANGELOG.md

Author: mdbenito

CHANGELOG.md

@@ -1,27 +1,37 @@
 # Changelog
 
-## Unreleased
+
+## 0.7.1 - 🆕 New methods, bug fixes and improvements for local tests 🐞🧪
+
+### Added
 
 - New method: Class-wise Shapley values
   [PR #338](https://github.com/aai-institute/pyDVL/pull/338)
-- No longer using docker within tests to start a memcached server
-  [PR #444](https://github.com/aai-institute/pyDVL/pull/444)
+- New method: Data-OOB by @BastienZim 
+  [PR #426](https://github.com/aai-institute/pyDVL/pull/426), 
+  [PR $431](https://github.com/aai-institute/pyDVL/pull/431)
+- Added `AntitheticPermutationSampler`
+  [PR #439](https://github.com/aai-institute/pyDVL/pull/439)
 - Faster semi-value computation with per-index check of stopping criteria (optional)
   [PR #437](https://github.com/aai-institute/pyDVL/pull/437)
-- Improvements and fixes to notebooks
-  [PR #436](https://github.com/aai-institute/pyDVL/pull/436)
-- Fix initialization of `data_names` in `ValuationResult.zeros()`
-  [PR #443](https://github.com/aai-institute/pyDVL/pull/443)
+
+### Changed
+
+- No longer using docker within tests to start a memcached server
+  [PR #444](https://github.com/aai-institute/pyDVL/pull/444)
 - Using pytest-xdist for faster local tests
   [PR #440](https://github.com/aai-institute/pyDVL/pull/440)
-- Added `AntitheticPermutationSampler`
-  [PR #439](https://github.com/aai-institute/pyDVL/pull/439)
-- Implementation of Data-OOB by @BastienZim
-  [PR #426](https://github.com/aai-institute/pyDVL/pull/426), 
-  [PR $431](https://github.com/aai-institute/pyDVL/pull/431)
+- Improvements and fixes to notebooks
+  [PR #436](https://github.com/aai-institute/pyDVL/pull/436)
 - Refactoring of parallel module. Old imports will stop working in v0.9.0
   [PR #421](https://github.com/aai-institute/pyDVL/pull/421)
 
+### Fixed
+
+- Fix initialization of `data_names` in `ValuationResult.zeros()`
+  [PR #443](https://github.com/aai-institute/pyDVL/pull/443)
+
+
 ## 0.7.0 - 📚🆕 Documentation and IF overhaul, new methods and bug fixes 💥🐞
 
 This is our first β release! We have worked hard to deliver improvements across