sdpython · sdpython · Dec 4, 2025 · Dec 4, 2025 · Dec 4, 2025 · Dec 4, 2025
diff --git a/.github/workflows/documentation.yml b/.github/workflows/documentation.yml
@@ -21,7 +21,7 @@ jobs:
 
  - uses: actions/setup-python@v4
  with:
- python-version: '3.11'
+ python-version: '3.12'
 
  - uses: tlylt/install-graphviz@v1
 

diff --git a/.local.jenkins.lin.yml b/.local.jenkins.lin.yml
diff --git a/MANIFEST.in b/MANIFEST.in
@@ -1,4 +1,3 @@
-recursive-include onnx_extended *.c *.cpp *.h *.pyx *.pxd *.pxi *.py
 include pyproject.toml
 include MANIFEST.in
 include setup.cfg

diff --git a/_doc/conf.py b/_doc/conf.py
@@ -24,7 +24,6 @@
  "sphinx_runpython.epkg",
  "sphinx_runpython.gdot",
  "sphinx_runpython.runpython",
- "sphinxcontrib.blockdiag",
  "matplotlib.sphinxext.plot_directive",
 ]
 
@@ -73,7 +72,7 @@
 """
 
 # The following is used by sphinx.ext.linkcode to provide links to github
-linkcode_resolve = make_linkcode_resolve(
+_linkcode_resolve = make_linkcode_resolve(
  "mlstatpy",
  (
  "https://github.com/sdpython/mlstatpy/"
@@ -82,6 +81,11 @@
  ),
 )
 
+
+def linkcode_resolve(domain, info):
+ return _linkcode_resolve(domain, info)
+
+
 latex_elements = {
  "papersize": "a4",
  "pointsize": "10pt",

diff --git a/_doc/index.rst b/_doc/index.rst
@@ -10,7 +10,7 @@ Les maths d'abord, la programmation ensuite
 Le livre `The Elements of Statistical Learning <http://statweb.stanford.edu/~tibs/ElemStatLearn/>`_
 est considéré comme la bible en matière de machine learning. Ce site aborde des sujets connexes.
 Le site est aussi disponible (format brut de fonderie) sur
-`GitHub/mlstatpy <https://github.com/sdpython/mlstatpy>`_ |gitlogo|.
+`github/mlstatpy <https://github.com/sdpython/mlstatpy>`_ |gitlogo|.
 
 .. toctree::
  :maxdepth: 1
@@ -78,4 +78,5 @@ Xavier Dupré
 Older versions
 ++++++++++++++
 
+* `0.5.0 <../v0.5.0/index.html>`_
 * `0.4.0 <../v0.4.0/index.html>`_
diff --git a/_doc/notebooks/dsgarden/correlation_non_lineaire.ipynb b/_doc/notebooks/dsgarden/correlation_non_lineaire.ipynb
@@ -940,7 +940,7 @@
  },
  {
  "cell_type": "code",
- "execution_count": 49,
+ "execution_count": null,
  "metadata": {
  "scrolled": false
  },
@@ -962,7 +962,7 @@
  "\n",
  "def pairplot_cross_val(data, model=None, ax=None, **params):\n",
  " if ax is None:\n",
- " fig, ax = plt.subplots(\n",
+ " _fig, ax = plt.subplots(\n",
  " data.shape[1], data.shape[1], figsize=params.get(\"figsize\", (10, 10))\n",
  " )\n",
  " if \"figsize\" in params:\n",
@@ -3040,4 +3040,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
+}
diff --git a/_doc/notebooks/dsgarden/discret_gradient.ipynb b/_doc/notebooks/dsgarden/discret_gradient.ipynb
@@ -3910,4 +3910,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
+}
diff --git a/_doc/notebooks/dsgarden/quantization_f8.ipynb b/_doc/notebooks/dsgarden/quantization_f8.ipynb
@@ -833,4 +833,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 5
-}
+}
diff --git a/_doc/notebooks/dsgarden/regression_lineaire.ipynb b/_doc/notebooks/dsgarden/regression_lineaire.ipynb
@@ -2385,4 +2385,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
+}
diff --git a/_doc/notebooks/dsgarden/split_train_test.ipynb b/_doc/notebooks/dsgarden/split_train_test.ipynb
@@ -1348,4 +1348,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
+}
diff --git a/_doc/notebooks/image/segment_detection.ipynb b/_doc/notebooks/image/segment_detection.ipynb
@@ -470,4 +470,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
+}
diff --git a/_doc/notebooks/metric/pvalues_examples.ipynb b/_doc/notebooks/metric/pvalues_examples.ipynb
@@ -1045,7 +1045,7 @@
  },
  {
  "cell_type": "code",
- "execution_count": 8,
+ "execution_count": null,
  "metadata": {},
  "outputs": [
  {
@@ -1087,7 +1087,7 @@
  " if ax is None:\n",
  " import matplotlib.pyplot as plt\n",
  "\n",
- " fig, ax = plt.subplots(1, 1, figsize=figsize)\n",
+ " _fig, ax = plt.subplots(1, 1, figsize=figsize)\n",
  "\n",
  " smarker = {\n",
  " (True, True): \"o-\",\n",

diff --git a/_doc/notebooks/ml/logreg_voronoi.ipynb b/_doc/notebooks/ml/logreg_voronoi.ipynb
@@ -167,7 +167,7 @@
  },
  {
  "cell_type": "code",
- "execution_count": 10,
+ "execution_count": null,
  "metadata": {},
  "outputs": [
  {
@@ -233,7 +233,7 @@
  " cmap = plt.cm.tab20\n",
  " Z = Z.reshape(xx.shape)\n",
  " if ax is None:\n",
- " fig, ax = plt.subplots(1, 1, figsize=figsize or (4, 3))\n",
+ " _fig, ax = plt.subplots(1, 1, figsize=figsize or (4, 3))\n",
  " ax.pcolormesh(xx, yy, Z, cmap=cmap)\n",
  "\n",
  " # Plot also the training points\n",
@@ -1963,4 +1963,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
+}
diff --git a/_doc/notebooks/ml/neural_tree.ipynb b/_doc/notebooks/ml/neural_tree.ipynb
@@ -1826,4 +1826,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 4
-}
+}
diff --git a/_doc/notebooks/ml/neural_tree_cost.ipynb b/_doc/notebooks/ml/neural_tree_cost.ipynb
@@ -351,7 +351,7 @@
  },
  {
  "cell_type": "code",
- "execution_count": 12,
+ "execution_count": null,
  "id": "ecef383a",
  "metadata": {},
  "outputs": [
@@ -773,7 +773,7 @@
  ],
  "source": [
  "from tqdm import tqdm\n",
- "from onnx_array_api.ext_test_case import measure_time\n",
+ "from mlstatpy.ext_test_case import measure_time\n",
  "\n",
  "data = []\n",
  "for d in tqdm(range(2, 10)):\n",
@@ -870,4 +870,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 5
-}
+}
-Original file line number
+Diff line change
@@ Expand Up / @@ -3910,4 +3910,4 @@ @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
+}