From 1ffd2300aeac995b1612506e8dd3587c529970e6 Mon Sep 17 00:00:00 2001
From: Sherry <sheryang@microsoft.com>
Date: Thu, 27 Jun 2024 15:27:51 -0700
Subject: [PATCH] Update json.

---
 Instructions/Labs/01-machine-learning.md | 42 +++++++++++++-----------
 1 file changed, 22 insertions(+), 20 deletions(-)

diff --git a/Instructions/Labs/01-machine-learning.md b/Instructions/Labs/01-machine-learning.md
index e97cb6f..cd539dc 100644
--- a/Instructions/Labs/01-machine-learning.md
+++ b/Instructions/Labs/01-machine-learning.md
@@ -146,30 +146,32 @@ Now you can test your deployed service.
 
 1. In the **Input data to test endpoint** pane, replace the template JSON with the following input data:
 
-    ```JSON
+    ```json
     {
-      "Inputs": { 
-        "data": [
-          {
-            "day": 1,
-            "mnth": 1,   
-            "year": 2022,
-            "season": 2,
-            "holiday": 0,
-            "weekday": 1,
-            "workingday": 1,
-            "weathersit": 2, 
-            "temp": 0.3, 
-            "atemp": 0.3,
-            "hum": 0.3,
-            "windspeed": 0.3 
-          }
-        ]    
-      },   
-      "GlobalParameters": 1.0
+      "input_data": {
+        "columns": [
+            {
+                "day": 1,
+                "mnth": 1,   
+                "year": 2022,
+                "season": 2,
+                "holiday": 0,
+                "weekday": 1,
+                "workingday": 1,
+                "weathersit": 2, 
+                "temp": 0.3, 
+                "atemp": 0.3,
+                "hum": 0.3,
+                "windspeed": 0.3 
+            }
+        ],
+        "index": [],
+        "data": []
+      }
     }
     ```
 
+
 1. Click the **Test** button.
 
 1. Review the test results, which include a predicted number of rentals based on the input features - similar to this: