Update Azure ML XGBoost instructions to Ubuntu 24.04

.gitignore

@@ -25,3 +25,6 @@ jupyter_execute/
 
 # exclusions
 !source/examples/rapids-1brc-single-node/lookup.csv
+
+package.json
+package-lock.json

source/cloud/azure/aks.md

@@ -22,8 +22,8 @@ $ az login
 
 Now we can launch a GPU enabled AKS cluster. First launch an AKS cluster.
 
-```bash
-az aks create -g <resource group> -n rapids \
+```console
+    az aks create -g <resource group> -n rapids \
         --enable-managed-identity \
         --node-count 1 \
         --enable-addons monitoring \
@@ -91,8 +91,8 @@ $ az extension add --name aks-preview
 
 `````
 
-```bash
-az aks nodepool add \
+```console
+$ az aks nodepool add \
     --resource-group <resource group> \
     --cluster-name rapids \
     --name gpunp \

source/examples/rapids-sagemaker-hpo/HPODatasets.py

@@ -1,4 +1,4 @@
-""" Airline Dataset target label and feature column names  """
+"""Airline Dataset target label and feature column names"""
 
 airline_label_column = "ArrDel15"
 airline_feature_columns = [

source/examples/xgboost-azure-mnmg-daskcloudprovider/notebook.ipynb

@@ -178,10 +178,10 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "location = \"West US 2\"\n",
-    "resource_group = \"rapidsai-deployment\"\n",
-    "vnet = \"rapidsai-deployment-vnet\"\n",
-    "security_group = \"rapidsaiclouddeploymenttest-nsg\"\n",
+    "location = \"FILL-THIS-IN\"\n",
+    "resource_group = \"FILL-THIS-IN\"\n",
+    "vnet = \"FILL-THIS-IN\"\n",
+    "security_group = \"FILL-THIS-IN\"\n",
     "vm_size = \"Standard_NC12s_v3\"  # or choose a different GPU enabled VM type\n",
     "\n",
     "docker_image = \"{{rapids_container}}\"\n",