Updates CHANGELOG.md with reference to this PR

docs/sources/CHANGELOG.md

@@ -15,7 +15,7 @@ The CHANGELOG for the current development version is available at
 
 ##### New Features
 
-- Added `evaluate.permutation_test`, a permutation test for hypothesis testing (or A/B testing) to test if two samples come from the same distribution. Or in other words, a procedure to test the null hypothesis that that two groups are not significantly different (e.g., a treatment and a control group). 
+- Added `evaluate.permutation_test`, a permutation test for hypothesis testing (or A/B testing) to test if two samples come from the same distribution. Or in other words, a procedure to test the null hypothesis that that two groups are not significantly different (e.g., a treatment and a control group).
 - Added `'leverage'` and `'conviction` as evaluation metrics to the `frequent_patterns.association_rules` function. [#246](https://github.com/rasbt/mlxtend/pull/246) & [#247](https://github.com/rasbt/mlxtend/pull/247)
 - Added a `loadings_` attribute to `PrincipalComponentAnalysis` to compute the factor loadings of the features on the principal components. [#251](https://github.com/rasbt/mlxtend/pull/251)
 
@@ -27,6 +27,7 @@ The CHANGELOG for the current development version is available at
 ##### Bug Fixes
 
 - the "S" vector from SVD in `PrincipalComponentAnalysis` are now scaled so that the eigenvalues via `solver='eigen'` and `solver='svd'` now store eigenvalues that have the same magnitudes. [#251](https://github.com/rasbt/mlxtend/pull/251)
+- The parameters for `StackingClassifier`, `StackingCVClassifier`, `StackingRegressor`, `StackingCVRegressor`, and `EnsembleVoteClassifier` can now be tuned using scikit-learn's `GridSearchCV` ([#254](https://github.com/rasbt/mlxtend/pull/254) via [James Bourbeau](https://github.com/jrbourbeau))
 
 ### Version 0.8.0 (2017-09-09)