Update notebooks

tutorials/01.train-models.ipynb

@@ -560,7 +560,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "run.wait_for_completion(show_output=True) # specify True for a verbose log"
+    "run.wait_for_completion(show_output=False) # specify True for a verbose log"
    ]
   },
   {

tutorials/02.deploy-models.ipynb

@@ -196,7 +196,7 @@
     "\n",
     "conf_mx = confusion_matrix(y_test, y_hat)\n",
     "print(conf_mx)\n",
-    "print('Overall accuracy:', np.average(y_hat == y_test))"
+    "print('Overall accuracy:', np.average(y_hat==y_test))"
    ]
   },
   {
@@ -313,7 +313,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Review the content of the file"
+    "Review the content of the `myenv.yml` file."
    ]
   },
   {
@@ -322,7 +322,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "%pfile myenv.yml"
+    "with open(\"myenv.yml\",\"r\") as f:\n",
+    "    print(f.read())"
    ]
   },
   {
@@ -383,7 +384,7 @@
     "                                                  conda_file=\"myenv.yml\")\n",
     "\n",
     "service = Webservice.deploy_from_model(workspace=ws,\n",
-    "                                       name='sklearn-mnist-model',\n",
+    "                                       name='sklearn-mnist-svc',\n",
     "                                       deployment_config=aciconfig,\n",
     "                                       models=[model],\n",
     "                                       image_config=image_config)\n",
@@ -463,6 +464,40 @@
     "plt.show()"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You can also send raw HTTP request to test the web service."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import requests\n",
+    "import json\n",
+    "\n",
+    "# send a random row from the test set to score\n",
+    "random_index = np.random.randint(0, len(X_test)-1)\n",
+    "input_data = \"{\\\"data\\\": [\" + str(list(X_test[random_index])) + \"]}\"\n",
+    "\n",
+    "headers = {'Content-Type':'application/json'}\n",
+    "\n",
+    "# for AKS deployment you'd need to the service key in the header as well\n",
+    "# api_key = service.get_key()\n",
+    "# headers = {'Content-Type':'application/json',  'Authorization':('Bearer '+ api_key)} \n",
+    "\n",
+    "resp = requests.post(service.scoring_uri, input_data, headers=headers)\n",
+    "\n",
+    "print(\"POST to url\", service.scoring_uri)\n",
+    "#print(\"input data:\", input_data)\n",
+    "print(\"label:\", y_test[random_index])\n",
+    "print(\"prediction:\", resp.text)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},