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diff --git a/0.4/CHANGES.html b/0.4/CHANGES.html
@@ -784,7 +784,7 @@ <h2>skrub release 0.1.0<a class="headerlink" href="#skrub-release-0-1-0" title="
 <h3>Major changes<a class="headerlink" href="#id7" title="Link to this heading">#</a></h3>
 <ul class="simple">
 <li><p><code class="xref py py-class docutils literal notranslate"><span class="pre">TargetEncoder</span></code> has been removed in favor of
-<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.TargetEncoder.html#sklearn.preprocessing.TargetEncoder" title="(in scikit-learn v1.5)"><code class="xref py py-class docutils literal notranslate"><span class="pre">sklearn.preprocessing.TargetEncoder</span></code></a>, available since scikit-learn 1.3.</p></li>
+<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.TargetEncoder.html#sklearn.preprocessing.TargetEncoder" title="(in scikit-learn v1.6)"><code class="xref py py-class docutils literal notranslate"><span class="pre">sklearn.preprocessing.TargetEncoder</span></code></a>, available since scikit-learn 1.3.</p></li>
 <li><p><a class="reference internal" href="reference/generated/skrub.Joiner.html#skrub.Joiner" title="skrub.Joiner"><code class="xref py py-class docutils literal notranslate"><span class="pre">Joiner</span></code></a> and <a class="reference internal" href="reference/generated/skrub.fuzzy_join.html#skrub.fuzzy_join" title="skrub.fuzzy_join"><code class="xref py py-func docutils literal notranslate"><span class="pre">fuzzy_join()</span></code></a> support several ways of rescaling
 distances; <code class="docutils literal notranslate"><span class="pre">match_score</span></code> has been replaced by <code class="docutils literal notranslate"><span class="pre">max_dist</span></code>; bugs which
 prevented the Joiner to consistently vectorize inputs and accept or reject
@@ -1035,8 +1035,8 @@ <h3>Major changes<a class="headerlink" href="#id15" title="Link to this heading"
 <li><p>The <a class="reference internal" href="reference/generated/skrub.TableVectorizer.html#skrub.TableVectorizer" title="skrub.TableVectorizer"><code class="xref py py-class docutils literal notranslate"><span class="pre">TableVectorizer</span></code></a> has seen some major improvements and bug fixes:</p>
 <ul class="simple">
 <li><p>Fixes the automatic casting logic in <code class="docutils literal notranslate"><span class="pre">transform</span></code>.</p></li>
-<li><p>To avoid dimensionality explosion when a feature has two unique values, the default encoder (<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html#sklearn.preprocessing.OneHotEncoder" title="(in scikit-learn v1.5)"><code class="xref py py-class docutils literal notranslate"><span class="pre">OneHotEncoder</span></code></a>) now drops one of the two vectors (see parameter <cite>drop=”if_binary”</cite>).</p></li>
-<li><p><code class="docutils literal notranslate"><span class="pre">fit_transform</span></code> and <code class="docutils literal notranslate"><span class="pre">transform</span></code> can now return unencoded features, like the <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.compose.ColumnTransformer.html#sklearn.compose.ColumnTransformer" title="(in scikit-learn v1.5)"><code class="xref py py-class docutils literal notranslate"><span class="pre">ColumnTransformer</span></code></a>’s behavior. Previously, a <code class="docutils literal notranslate"><span class="pre">RuntimeError</span></code> was raised.</p></li>
+<li><p>To avoid dimensionality explosion when a feature has two unique values, the default encoder (<a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html#sklearn.preprocessing.OneHotEncoder" title="(in scikit-learn v1.6)"><code class="xref py py-class docutils literal notranslate"><span class="pre">OneHotEncoder</span></code></a>) now drops one of the two vectors (see parameter <cite>drop=”if_binary”</cite>).</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">fit_transform</span></code> and <code class="docutils literal notranslate"><span class="pre">transform</span></code> can now return unencoded features, like the <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.compose.ColumnTransformer.html#sklearn.compose.ColumnTransformer" title="(in scikit-learn v1.6)"><code class="xref py py-class docutils literal notranslate"><span class="pre">ColumnTransformer</span></code></a>’s behavior. Previously, a <code class="docutils literal notranslate"><span class="pre">RuntimeError</span></code> was raised.</p></li>
 </ul>
 <p><a class="reference external" href="https://github.com/skrub-data/skrub/pull/300">#300</a> by <a class="reference external" href="https://github.com/LilianBoulard">Lilian Boulard</a></p>
 </li>
@@ -1097,7 +1097,7 @@ <h3>Major changes<a class="headerlink" href="#id17" title="Link to this heading"
 <li><dl class="simple">
 <dt>Improvements to the <a class="reference internal" href="reference/generated/skrub.MinHashEncoder.html#skrub.MinHashEncoder" title="skrub.MinHashEncoder"><code class="xref py py-class docutils literal notranslate"><span class="pre">MinHashEncoder</span></code></a></dt><dd><ul class="simple">
 <li><p>It is now possible to fit multiple columns simultaneously with the <a class="reference internal" href="reference/generated/skrub.MinHashEncoder.html#skrub.MinHashEncoder" title="skrub.MinHashEncoder"><code class="xref py py-class docutils literal notranslate"><span class="pre">MinHashEncoder</span></code></a>.
-Very useful when using for instance the <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.compose.make_column_transformer.html#sklearn.compose.make_column_transformer" title="(in scikit-learn v1.5)"><code class="xref py py-func docutils literal notranslate"><span class="pre">make_column_transformer()</span></code></a> function,
+Very useful when using for instance the <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.compose.make_column_transformer.html#sklearn.compose.make_column_transformer" title="(in scikit-learn v1.6)"><code class="xref py py-func docutils literal notranslate"><span class="pre">make_column_transformer()</span></code></a> function,
 on multiple columns.</p></li>
 </ul>
 </dd>
@@ -1201,7 +1201,7 @@ <h3>Major changes<a class="headerlink" href="#id22" title="Link to this heading"
 <li><p><a class="reference internal" href="reference/generated/skrub.TableVectorizer.html#skrub.TableVectorizer" title="skrub.TableVectorizer"><code class="xref py py-class docutils literal notranslate"><span class="pre">TableVectorizer</span></code></a>: Added automatic transform through the
 <a class="reference internal" href="reference/generated/skrub.TableVectorizer.html#skrub.TableVectorizer" title="skrub.TableVectorizer"><code class="xref py py-class docutils literal notranslate"><span class="pre">TableVectorizer</span></code></a> class. It transforms
 columns automatically based on their type. It provides a replacement
-for scikit-learn’s <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.compose.ColumnTransformer.html#sklearn.compose.ColumnTransformer" title="(in scikit-learn v1.5)"><code class="xref py py-class docutils literal notranslate"><span class="pre">ColumnTransformer</span></code></a> simpler to use on heterogeneous
+for scikit-learn’s <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.compose.ColumnTransformer.html#sklearn.compose.ColumnTransformer" title="(in scikit-learn v1.6)"><code class="xref py py-class docutils literal notranslate"><span class="pre">ColumnTransformer</span></code></a> simpler to use on heterogeneous
 pandas DataFrame. <a class="reference external" href="https://github.com/skrub-data/skrub/pull/167">#167</a> by <a class="reference external" href="https://github.com/LilianBoulard">Lilian Boulard</a></p></li>
 <li><p><strong>Backward incompatible change to</strong> <a class="reference internal" href="reference/generated/skrub.GapEncoder.html#skrub.GapEncoder" title="skrub.GapEncoder"><code class="xref py py-class docutils literal notranslate"><span class="pre">GapEncoder</span></code></a>: The <a class="reference internal" href="reference/generated/skrub.GapEncoder.html#skrub.GapEncoder" title="skrub.GapEncoder"><code class="xref py py-class docutils literal notranslate"><span class="pre">GapEncoder</span></code></a> now only
 supports two-dimensional inputs of shape (n_samples, n_features).

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