Testing PR continuous integration

CausalAIBook · Jul 20, 2024 · bccceb4 · bccceb4
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commit bccceb4
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Showing 3 changed files with 23 additions and 7 deletions.
diff --git a/.github/workflows/check-and-transform-R-notebooks.yml b/.github/workflows/check-and-transform-R-notebooks.yml
@@ -223,7 +223,7 @@ jobs:
           git config --global user.email 'github-actions[bot]@users.noreply.github.com'
           git pull
           git add ${{ matrix.directory }}/*.irnb ${{ matrix.directory }}/*.Rmd
-          git commit -m 'Strip outputs from .irnb, convert to .Rmd, lint .Rmd files, and execute .R files in ${{ matrix.directory }}'
-          git push
+          git commit -m 'Strip outputs from .irnb, convert to .Rmd, lint .Rmd files, and execute .R files in ${{ matrix.directory }} [skip ci]'
+          git push --force-with-lease
         env:
           GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
diff --git a/.github/workflows/python-notebooks.yml b/.github/workflows/python-notebooks.yml
@@ -198,7 +198,7 @@ jobs:
         git config --global user.email 'github-actions[bot]@users.noreply.github.com'
         git pull
         git add ${{ matrix.directory }}/*.ipynb
-        git commit -m 'Strip outputs from .ipynb files in ${{ matrix.directory }}'
-        git push
+        git commit -m 'Strip outputs from .ipynb files in ${{ matrix.directory }} [skip ci]'
+        git push --force-with-lease
       env:
         GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
diff --git a/PM1/python-linear-model-overfitting.ipynb b/PM1/python-linear-model-overfitting.ipynb
@@ -21,7 +21,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {
     "id": "YTaOmenI7TfT"
    },
@@ -44,7 +44,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {
     "id": "C57WYtYM7OL0",
     "papermill": {
@@ -56,7 +56,23 @@
     },
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "p/n is: 1.0\n",
+      "R^2 is 1.0\n",
+      "Adjusted R^2 is nan\n",
+      "p/n is: 0.5\n",
+      "R^2 is 0.5232392347513539\n",
+      "Adjusted R^2 is 0.04647846950270784\n",
+      "p/n is: 0.05\n",
+      "R^2 is 0.05610356497156044\n",
+      "Adjusted R^2 is 0.006424805233221531\n"
+     ]
+    }
+   ],
    "source": [
     "regression_stats(1000, 1000)\n",
     "regression_stats(1000, 500)\n",