Fixing issue with changelog

uclamii · Feb 10, 2025 · bc4ce48 · bc4ce48
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Showing 3 changed files with 6 additions and 9 deletions.
diff --git a/docs/_sources/changelog.rst.txt b/docs/_sources/changelog.rst.txt
@@ -28,8 +28,7 @@ Changelog
 Version 0.0.26b (Beta)
 -----------------------
 
-- Optimal threshold: Users can now specify target precision or recall and an optimal
-threshold is computed for that
+- Optimal threshold: Users can now specify target precision or recall and an optimal threshold is computed for that
 - Finalised testing: coverage is now at 86% total
 - New get_feature_names() helper function for extracting features
 - n_estimators calculation for boosting algorithms is now fixed

diff --git a/docs/changelog.html b/docs/changelog.html
@@ -148,12 +148,11 @@ <h1>Changelog<a class="headerlink" href="#changelog" title="Link to this heading
 <section id="version-0-0-26b-beta">
 <h2>Version 0.0.26b (Beta)<a class="headerlink" href="#version-0-0-26b-beta" title="Link to this heading"></a></h2>
 <ul class="simple">
-<li><p>Optimal threshold: Users can now specify target precision or recall and an optimal</p></li>
+<li><p>Optimal threshold: Users can now specify target precision or recall and an optimal threshold is computed for that</p></li>
+<li><p>Finalised testing: coverage is now at 86% total</p></li>
+<li><p>New get_feature_names() helper function for extracting features</p></li>
+<li><p>n_estimators calculation for boosting algorithms is now fixed</p></li>
 </ul>
-<p>threshold is computed for that
-- Finalised testing: coverage is now at 86% total
-- New get_feature_names() helper function for extracting features
-- n_estimators calculation for boosting algorithms is now fixed</p>
 </section>
 <section id="version-0-0-25a">
 <h2>Version 0.0.25a<a class="headerlink" href="#version-0-0-25a" title="Link to this heading"></a></h2>

diff --git a/source/changelog.rst b/source/changelog.rst
@@ -28,8 +28,7 @@ Changelog
 Version 0.0.26b (Beta)
 -----------------------
 
-- Optimal threshold: Users can now specify target precision or recall and an optimal
-threshold is computed for that
+- Optimal threshold: Users can now specify target precision or recall and an optimal threshold is computed for that
 - Finalised testing: coverage is now at 86% total
 - New get_feature_names() helper function for extracting features
 - n_estimators calculation for boosting algorithms is now fixed