urls

sdpython · Jul 27, 2023 · 7fa2c4a · 7fa2c4a
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diff --git a/_doc/conf.py b/_doc/conf.py
@@ -185,7 +185,7 @@
     "LAESA": "https://tavianator.com/aesa/",
     "LAPACK": "http://www.netlib.org/lapack/",
     "mlinsights": "http://www.xavierdupre.fr/app/mlinsights/helpsphinx/index.html",
-    "mlstatpy": "https://sdpython.github.io/doc/mlstatpy/",
+    "mlstatpy": "https://sdpython.github.io/doc/mlstatpy/dev/",
     "numpy": (
         "https://www.numpy.org/",
         ("https://docs.scipy.org/doc/numpy/reference/generated/numpy.{0}.html", 1),

diff --git a/_doc/notebooks/metric/roc_example.ipynb b/_doc/notebooks/metric/roc_example.ipynb
@@ -539,7 +539,7 @@
    "source": [
     "## ROC - TPR / FPR\n",
     "\n",
-    "We do the same with the class this module provides [ROC](https://sdpython.github.io/doc/mlstatpy/c_metric/roc.html).\n",
+    "We do the same with the class this module provides [ROC](https://sdpython.github.io/doc/mlstatpy/dev/c_metric/roc.html).\n",
     "\n",
     "* TPR = True Positive Rate\n",
     "* FPR = False Positive Rate\n",

diff --git a/_doc/notebooks/ml/logreg_voronoi.ipynb b/_doc/notebooks/ml/logreg_voronoi.ipynb
@@ -476,7 +476,7 @@
    "source": [
     "## Un diagramme de Voronoï proche\n",
     "\n",
-    "On applique la formule définie par [Régression logistique, diagramme de Voronoï, k-Means](https://sdpython.github.io/doc/mlstatpy/c_ml/lr_voronoi.html) et on résoud le système linéaire défini par :\n",
+    "On applique la formule définie par [Régression logistique, diagramme de Voronoï, k-Means](https://sdpython.github.io/doc/mlstatpy/dev/c_ml/lr_voronoi.html) et on résoud le système linéaire défini par :\n",
     "\n",
     "$$\\begin{array}{ll}\n",
     "&\\left\\{\\begin{array}{l}\\left<L_i - L_j, P_i \\right> + B_i - B_j = - \\left\\{ \\left<L_i - L_j, P_j \\right> + B_i - B_j \\right \\} \\\\ P_i-  P_j - \\left<P_i - P_j, \\frac{L_i-L_j}{\\Vert L_i-L_j\\Vert} \\right> \\frac{L_i-L_j}{\\Vert L_i-L_j\\Vert }=0 \\end{array} \\right.\n",