MAINT Update full index (#757)

INRIA · Dec 1, 2023 · fa8225c · fa8225c
1 parent 80ecf2e
commit fa8225c
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Showing 3 changed files with 16 additions and 20 deletions.
diff --git a/Makefile b/Makefile
@@ -35,7 +35,7 @@ quizzes:
 	python build_tools/generate-quizzes.py $(GITLAB_REPO_JUPYTERBOOK_DIR) $(JUPYTER_BOOK_DIR)
 
 full-index:
-	python build_tools/generate-md-index.py
+	python build_tools/generate-index.py
 
 $(JUPYTER_BOOK_DIR):
 	jupyter-book build $(JUPYTER_BOOK_DIR)

diff --git a/build_tools/generate-index.py b/build_tools/generate-index.py
@@ -9,14 +9,20 @@
 
 from sphinx_external_toc.parsing import parse_toc_yaml
 
-from myst_parser.main import to_tokens
+from markdown_it.renderer import RendererHTML
+
+from myst_parser.config.main import MdParserConfig
+from myst_parser.parsers.mdit import create_md_parser
+
 
 # This hard-code the git repo root directory relative to this script
 root_dir = Path(__file__).parents[1]
 
 
 def get_first_title_from_md_str(md_str):
-    tokens = to_tokens(md_str)
+    parser = create_md_parser(MdParserConfig(), RendererHTML)
+    tokens = parser.parse(md_str)
+
     is_title_token = False
     for t in tokens:
         if is_title_token:

diff --git a/full-index.ipynb b/full-index.ipynb
@@ -111,40 +111,30 @@
     "### Intuitions on linear models\n",
     "\n",
     "* [🎥 Intuitions on linear models](https://inria.github.io/scikit-learn-mooc/linear_models/linear_models_slides.html)\n",
-    "* [✅ Quiz M4.01](https://inria.github.io/scikit-learn-mooc/linear_models/linear_models_quiz_m4_01.html)\n",
-    "\n",
-    "### Linear regression\n",
-    "\n",
     "* [Linear regression without scikit-learn](notebooks/linear_regression_without_sklearn.ipynb)\n",
     "* [📝 Exercise M4.01](notebooks/linear_models_ex_01.ipynb)\n",
     "* [📃 Solution for Exercise M4.01](notebooks/linear_models_sol_01.ipynb)\n",
     "* [Linear regression using scikit-learn](notebooks/linear_regression_in_sklearn.ipynb)\n",
-    "* [✅ Quiz M4.02](https://inria.github.io/scikit-learn-mooc/linear_models/linear_models_quiz_m4_02.html)\n",
+    "* [Linear models for classification](notebooks/logistic_regression.ipynb)\n",
+    "* [✅ Quiz M4.01](https://inria.github.io/scikit-learn-mooc/linear_models/linear_models_quiz_m4_01.html)\n",
     "\n",
-    "### Modelling non-linear features-target relationships\n",
+    "### Non-linear feature engineering for linear models\n",
     "\n",
+    "* [Non-linear feature engineering for Linear Regression](notebooks/linear_regression_non_linear_link.ipynb)\n",
     "* [📝 Exercise M4.02](notebooks/linear_models_ex_02.ipynb)\n",
     "* [📃 Solution for Exercise M4.02](notebooks/linear_models_sol_02.ipynb)\n",
-    "* [Linear regression for a non-linear features-target relationship](notebooks/linear_regression_non_linear_link.ipynb)\n",
+    "* [Non-linear feature engineering for Logistic Regression](notebooks/linear_models_feature_engineering_classification.ipynb)\n",
     "* [📝 Exercise M4.03](notebooks/linear_models_ex_03.ipynb)\n",
     "* [📃 Solution for Exercise M4.03](notebooks/linear_models_sol_03.ipynb)\n",
-    "* [✅ Quiz M4.03](https://inria.github.io/scikit-learn-mooc/linear_models/linear_models_quiz_m4_03.html)\n",
+    "* [✅ Quiz M4.02](https://inria.github.io/scikit-learn-mooc/linear_models/linear_models_quiz_m4_02.html)\n",
     "\n",
     "### Regularization in linear model\n",
     "\n",
     "* [🎥 Intuitions on regularized linear models](https://inria.github.io/scikit-learn-mooc/linear_models/regularized_linear_models_slides.html)\n",
     "* [Regularization of linear regression model](notebooks/linear_models_regularization.ipynb)\n",
     "* [📝 Exercise M4.04](notebooks/linear_models_ex_04.ipynb)\n",
     "* [📃 Solution for Exercise M4.04](notebooks/linear_models_sol_04.ipynb)\n",
-    "* [✅ Quiz M4.04](https://inria.github.io/scikit-learn-mooc/linear_models/linear_models_quiz_m4_04.html)\n",
-    "\n",
-    "### Linear model for classification\n",
-    "\n",
-    "* [Linear model for classification](notebooks/logistic_regression.ipynb)\n",
-    "* [📝 Exercise M4.05](notebooks/linear_models_ex_05.ipynb)\n",
-    "* [📃 Solution for Exercise M4.05](notebooks/linear_models_sol_05.ipynb)\n",
-    "* [Beyond linear separation in classification](notebooks/logistic_regression_non_linear.ipynb)\n",
-    "* [✅ Quiz M4.05](https://inria.github.io/scikit-learn-mooc/linear_models/linear_models_quiz_m4_05.html)\n",
+    "* [✅ Quiz M4.03](https://inria.github.io/scikit-learn-mooc/linear_models/linear_models_quiz_m4_03.html)\n",
     "\n",
     "[🏁 Wrap-up quiz 4](https://inria.github.io/scikit-learn-mooc/linear_models/linear_models_wrap_up_quiz.html)\n",
     "\n",