Merge pull request #89 from lsst/tickets/SP-2191

Tickets/sp 2191

Author: MelissaGraham

DP0.2/19a_Introduction_to_AI/19a_Introduction_to_AI.ipynb

@@ -7,8 +7,8 @@
     "<img align=\"left\" src = https://project.lsst.org/sites/default/files/Rubin-O-Logo_0.png width=250 style=\"padding: 10px\"> \n",
     "<br><b> Introduction to AI-based Image Classification with Pytorch</b> <br>\n",
     "Contact author: Brian Nord <br>\n",
-    "Last verified to run: 2025-09-02 <br>\n",
-    "LSST Science Pipelines version: r29.2.0 <br>\n",
+    "Last verified to run: 2025-10-30 <br>\n",
+    "LSST Science Pipelines version: Release r29.2.0 <br>\n",
     "Container size: medium <br>\n",
     "Targeted learning level: beginner <br>"
    ]
@@ -188,11 +188,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "jupyter": {
-     "source_hidden": true
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "def normalizeInputs(x_temp, input_minimum, input_maximum):\n",
@@ -434,7 +430,7 @@
     "        img, label = subset_train[sample_idx]\n",
     "        ax = axes[i//num_col, i%num_col]\n",
     "        img_temp = img[0, :, :]\n",
-    "        img_temp = np.asarray(img_temp).flat\n",
+    "        img_temp = np.array(img_temp).flat\n",
     "        ax.hist(img_temp, bins=n_bins, color='gray')\n",
     "        ax.set_title(\"label (digit): \" + labels_map[label])\n",
     "        ax.set_xlabel(\"Pixel Values\")\n",
@@ -951,7 +947,11 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    }
+   },
    "outputs": [],
    "source": [
     "def plotROCMulticlassOnevsrest(y_tra, y_tes, y_pred_tes,\n",
@@ -1122,7 +1122,7 @@
     "path_dict = {'run_label': run_label,\n",
     "             'dir_data_model': path_temp + \"/Models/\",\n",
     "             'dir_data_figures': path_temp + \"/Figures/\",\n",
-    "             'dir_data_data': path_temp + \"/Data/\",\n",
+    "             'dir_data_data': \"/rubin/cst_repos/tutorial-notebooks-data/data\",\n",
     "             'file_model_prefix': \"Model\",\n",
     "             'file_figure_prefix': \"Figure\",\n",
     "             'file_figure_suffix': \".png\",\n",
@@ -1207,14 +1207,14 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "#### 2.1.2. Download data"
+    "#### 2.1.2. Retrieve data"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Download the data from a remote reserver."
+    "Retrieve the data from the Git large file server (LFS). This data was downloaded the Torch servers and saved to the LFS."
    ]
   },
   {
@@ -1223,9 +1223,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "%%time\n",
     "dataset = torchvision.datasets.MNIST(root=path_dict['dir_data_data'], train=True,\n",
-    "                                     download=True, transform=transform)"
+    "                                     download=False, transform=transform)"
    ]
   },
   {
@@ -1422,7 +1421,9 @@
    "source": [
     "Plot the distributions of pixel values to understand the data further. All pixel data has been normalized, and pixels have values between 0 and 1 only.\n",
     "\n",
-    "The distribution of pixel values matches the images shown above: mostly black (values near 0) pixels, with some white (values near 1), and a few grey (values in between 0 and 1)."
+    "The distribution of pixel values matches the images shown above: mostly black (values near 0) pixels, with some white (values near 1), and a few grey (values in between 0 and 1).\n",
+    "\n",
+    "> **Warning:** the following cell produces a DeprecationWarning that is ok to ignore."
    ]
   },
   {