From d9c34e5e55e3713af5eb968876ffa00067e84060 Mon Sep 17 00:00:00 2001
From: Bernhard Merkle <bernhard.merkle@gmail.com>
Date: Sun, 5 Jan 2025 16:47:57 +0100
Subject: [PATCH] Refactor Explainable AI notebook: update plot configurations
 like .plot.barh

---
 ch07/Explainable_AI.ipynb | 52 +++++++++------------------------------
 1 file changed, 12 insertions(+), 40 deletions(-)

diff --git a/ch07/Explainable_AI.ipynb b/ch07/Explainable_AI.ipynb
index 557c245..bb71134 100644
--- a/ch07/Explainable_AI.ipynb
+++ b/ch07/Explainable_AI.ipynb
@@ -233,14 +233,14 @@
    "execution_count": null,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "Y_pred"
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "scrolled": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "result[result[\"actual\"] != result[\"predicted\"]].head()"
@@ -302,9 +302,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "scrolled": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "import matplotlib.pyplot as plt\n",
@@ -315,9 +313,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "scrolled": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "wrong[\"max_probability\"].plot.hist(title=\"Wrong\")\n",
@@ -433,26 +429,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "core_ui.set_index(\"feature\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "10*['r']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "core_ui.set_index(\"feature\").plot.barh(color=[['red']*10 + ['green']*10])\n",
-    "plt.savefig(\"coefficients-core-ui.svg\")"
+    "core_ui.set_index(\"feature\").plot.barh()"
    ]
   },
   {
@@ -477,8 +454,7 @@
     "top_negative_coef = vocabulary_positions[:top_words].tolist()\n",
     "core = pd.DataFrame([[vocabulary[c], coef[c]] for c in top_positive_coef + top_negative_coef], \n",
     "                       columns=[\"feature\", \"coefficient\"]).sort_values(\"coefficient\")\n",
-    "core.set_index(\"feature\").plot.barh(figsize=(6, 10), color=[['red']*top_words + ['green']*top_words])\n",
-    "plt.savefig(\"coefficients-core.svg\")"
+    "core.set_index(\"feature\").plot.barh(figsize=(6, 10))"
    ]
   },
   {
@@ -766,9 +742,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "scrolled": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "np.random.seed(42)\n",
@@ -855,9 +829,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "scrolled": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "exp_num.show_in_notebook()"
@@ -874,7 +846,7 @@
  "metadata": {
   "celltoolbar": "Slideshow",
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "blueprints",
    "language": "python",
    "name": "python3"
   },
@@ -888,7 +860,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.8"
+   "version": "3.12.8"
   },
   "toc": {
    "base_numbering": 1,