fix pr numbers and pep8

rasbt · Sep 2, 2021 · e4e2b4d · e4e2b4d
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diff --git a/docs/sources/CHANGELOG.md b/docs/sources/CHANGELOG.md
@@ -27,9 +27,9 @@ The CHANGELOG for the current development version is available at
 - Removes deprecated `res` argument from `plot_decision_regions`. ([#803](https://github.com/rasbt/mlxtend/pull/803))
 - Adds a `title_fontsize` parameter to `plot_learning_curves` for controlling the title font size; also the plot style is now the matplotlib default. ([#818](https://github.com/rasbt/mlxtend/pull/818))
 - Internal change using `'c': 'none'` instead of `'c': ''` in `mlxtend.plotting.plot_decision_regions`'s scatterplot highlights to stay compatible with Matplotlib 3.4 and newer. ([#822](https://github.com/rasbt/mlxtend/pull/822))
-- Adds a `fontcolor_threshold` parameter to the `mlxtend.plotting.plot_confusion_matrix` function as an additional option for determining the font color cut-off manually. ([#825](https://github.com/rasbt/mlxtend/pull/825))
-- The `frequent_patterns.association_rules` now raises a `ValueError` if an empty frequent itemset DataFrame is passed. ([#842](https://github.com/rasbt/mlxtend/pull/842))
-- The .632 and .632+ bootstrap method implemented in the `mlxtend.evaluate.bootstrap_point632_score` function now use the whole training set for the resubstitution weighting term instead of the internal training set that is a new bootstrap sample in each round. ([#843](https://github.com/rasbt/mlxtend/pull/843))
+- Adds a `fontcolor_threshold` parameter to the `mlxtend.plotting.plot_confusion_matrix` function as an additional option for determining the font color cut-off manually. ([#827](https://github.com/rasbt/mlxtend/pull/827))
+- The `frequent_patterns.association_rules` now raises a `ValueError` if an empty frequent itemset DataFrame is passed. ([#843](https://github.com/rasbt/mlxtend/pull/843))
+- The .632 and .632+ bootstrap method implemented in the `mlxtend.evaluate.bootstrap_point632_score` function now use the whole training set for the resubstitution weighting term instead of the internal training set that is a new bootstrap sample in each round. ([#844](https://github.com/rasbt/mlxtend/pull/844))
 
 ##### Bug Fixes
 

diff --git a/mlxtend/evaluate/bootstrap_point632.py b/mlxtend/evaluate/bootstrap_point632.py
@@ -203,7 +203,8 @@ def bootstrap_point632_score(estimator, X, y, n_splits=200,
             #    "Estimating the Error Rate of a Prediction Rule: Improvement
             #     on Cross-Validation"
             #     by B. Efron, 1983, https://doi.org/10.2307/2288636
-            # Also see the discussion at https://github.com/rasbt/mlxtend/discussions/828
+            # Also see the discussion at
+            #   https://github.com/rasbt/mlxtend/discussions/828
             #
             # This also applies to the .632+ estimate in the paper
             #    "Improvements on Cross-Validation: The .632+ Bootstrap Method"