Pushing the docs to dev/ for branch: main, commit deb2ac4c13ca0faf1b0…

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skrub-data · Jun 7, 2024 · 6535818 · 6535818
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diff --git a/dev/CHANGES.html b/dev/CHANGES.html
@@ -494,10 +494,11 @@ <h3>Major changes<a class="headerlink" href="#major-changes" title="Link to this
 transformations (ii) in <code class="docutils literal notranslate"><span class="pre">specific_transformers</span></code> the same column may not be
 used twice (go through 2 different transformers).
 <a class="reference external" href="https://github.com/skrub-data/skrub/pull/902">#902</a> by <a class="reference external" href="https://github.com/jeromedockes">Jérôme Dockès</a>.</p></li>
-<li><p>The <a class="reference internal" href="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> is now a single-column transformer: its <code class="docutils literal notranslate"><span class="pre">fit</span></code>,
-<code class="docutils literal notranslate"><span class="pre">fit_transform</span></code> and <code class="docutils literal notranslate"><span class="pre">transform</span></code> methods accept a single column (a pandas
-or polars Series). Dataframes and numpy arrays are not accepted.
-<a class="reference external" href="https://github.com/skrub-data/skrub/pull/920">#920</a> by <a class="reference external" href="https://github.com/jeromedockes">Jérôme Dockès</a>.</p></li>
+<li><p>The <a class="reference internal" href="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> and <a class="reference internal" href="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> are now a single-column
+transformers: their <code class="docutils literal notranslate"><span class="pre">fit</span></code>, <code class="docutils literal notranslate"><span class="pre">fit_transform</span></code> and <code class="docutils literal notranslate"><span class="pre">transform</span></code> methods
+accept a single column (a pandas or polars Series). Dataframes and numpy
+arrays are not accepted.
+<a class="reference external" href="https://github.com/skrub-data/skrub/pull/920">#920</a> and <a class="reference external" href="https://github.com/skrub-data/skrub/pull/923">#923</a> by <a class="reference external" href="https://github.com/jeromedockes">Jérôme Dockès</a>.</p></li>
 <li><p>Added the <a class="reference internal" href="generated/skrub.MultiAggJoiner.html#skrub.MultiAggJoiner" title="skrub.MultiAggJoiner"><code class="xref py py-class docutils literal notranslate"><span class="pre">MultiAggJoiner</span></code></a> that allows to augment a main table with
 multiple auxiliary tables. <a class="reference external" href="https://github.com/skrub-data/skrub/pull/876">#876</a> by <a class="reference external" href="https://github.com/TheooJ">Théo Jolivet</a>.</p></li>
 <li><p><a class="reference internal" href="generated/skrub.AggJoiner.html#skrub.AggJoiner" title="skrub.AggJoiner"><code class="xref py py-class docutils literal notranslate"><span class="pre">AggJoiner</span></code></a> now only accepts a single table as an input, and some of its

diff --git a/dev/_downloads/216656c2e8e8a33463fe5d69fd4a4e00/06_ken_embeddings.py b/dev/_downloads/216656c2e8e8a33463fe5d69fd4a4e00/06_ken_embeddings.py
@@ -188,7 +188,7 @@
 encoder = make_column_transformer(
     ("passthrough", ["Year"]),
     (ohe, ["Genre"]),
-    (min_hash, ["Platform"]),
+    (min_hash, "Platform"),
     remainder="drop",
 )
 
@@ -277,7 +277,7 @@
     ("passthrough", emb_columns2),
     ("passthrough", ["Year"]),
     (ohe, ["Genre"]),
-    (min_hash, ["Platform"]),
+    (min_hash, "Platform"),
     remainder="drop",
 )
 

diff --git a/dev/_downloads/707aeb51609bd2078f67c6216133ecc4/06_ken_embeddings.ipynb b/dev/_downloads/707aeb51609bd2078f67c6216133ecc4/06_ken_embeddings.ipynb
@@ -227,7 +227,7 @@
       },
       "outputs": [],
       "source": [
-        "from sklearn.compose import make_column_transformer\nfrom sklearn.preprocessing import OneHotEncoder\n\nfrom skrub import MinHashEncoder\n\nmin_hash = MinHashEncoder(n_components=100)\nohe = OneHotEncoder(handle_unknown=\"ignore\", sparse_output=False)\n\nencoder = make_column_transformer(\n    (\"passthrough\", [\"Year\"]),\n    (ohe, [\"Genre\"]),\n    (min_hash, [\"Platform\"]),\n    remainder=\"drop\",\n)"
+        "from sklearn.compose import make_column_transformer\nfrom sklearn.preprocessing import OneHotEncoder\n\nfrom skrub import MinHashEncoder\n\nmin_hash = MinHashEncoder(n_components=100)\nohe = OneHotEncoder(handle_unknown=\"ignore\", sparse_output=False)\n\nencoder = make_column_transformer(\n    (\"passthrough\", [\"Year\"]),\n    (ohe, [\"Genre\"]),\n    (min_hash, \"Platform\"),\n    remainder=\"drop\",\n)"
       ]
     },
     {
@@ -356,7 +356,7 @@
       },
       "outputs": [],
       "source": [
-        "encoder3 = make_column_transformer(\n    (\"passthrough\", emb_columns),\n    (\"passthrough\", emb_columns2),\n    (\"passthrough\", [\"Year\"]),\n    (ohe, [\"Genre\"]),\n    (min_hash, [\"Platform\"]),\n    remainder=\"drop\",\n)"
+        "encoder3 = make_column_transformer(\n    (\"passthrough\", emb_columns),\n    (\"passthrough\", emb_columns2),\n    (\"passthrough\", [\"Year\"]),\n    (ohe, [\"Genre\"]),\n    (min_hash, \"Platform\"),\n    remainder=\"drop\",\n)"
       ]
     },
     {

diff --git a/dev/_images/sphx_glr_01_encodings_001.png b/dev/_images/sphx_glr_01_encodings_001.png
diff --git a/dev/_images/sphx_glr_01_encodings_thumb.png b/dev/_images/sphx_glr_01_encodings_thumb.png
diff --git a/dev/_images/sphx_glr_08_join_aggregation_003.png b/dev/_images/sphx_glr_08_join_aggregation_003.png
diff --git a/dev/_images/sphx_glr_09_interpolation_join_001.png b/dev/_images/sphx_glr_09_interpolation_join_001.png
diff --git a/dev/_images/sphx_glr_09_interpolation_join_002.png b/dev/_images/sphx_glr_09_interpolation_join_002.png
diff --git a/dev/_images/sphx_glr_09_interpolation_join_003.png b/dev/_images/sphx_glr_09_interpolation_join_003.png
diff --git a/dev/_images/sphx_glr_09_interpolation_join_thumb.png b/dev/_images/sphx_glr_09_interpolation_join_thumb.png
diff --git a/dev/_sources/CHANGES.rst.txt b/dev/_sources/CHANGES.rst.txt
@@ -22,10 +22,11 @@ Major changes
   used twice (go through 2 different transformers).
   :pr:`902` by :user:`Jérôme Dockès <jeromedockes>`.
 
-* The :class:`GapEncoder` is now a single-column transformer: its ``fit``,
-  ``fit_transform`` and ``transform`` methods accept a single column (a pandas
-  or polars Series). Dataframes and numpy arrays are not accepted.
-  :pr:`920` by :user:`Jérôme Dockès <jeromedockes>`.
+* The :class:`GapEncoder` and :class:`MinHashEncoder` are now a single-column
+  transformers: their ``fit``, ``fit_transform`` and ``transform`` methods
+  accept a single column (a pandas or polars Series). Dataframes and numpy
+  arrays are not accepted.
+  :pr:`920` and :pr:`923` by :user:`Jérôme Dockès <jeromedockes>`.
 
 * Added the :class:`MultiAggJoiner` that allows to augment a main table with
   multiple auxiliary tables. :pr:`876` by :user:`Théo Jolivet <TheooJ>`.