Merge pull request #2082 from sdgilley/sdg-tutorial-update

sync with notebook

Author: prmerger-automator[bot]

articles/machine-learning/tutorial-azure-ml-in-a-day.md

@@ -9,7 +9,7 @@ ms.topic: quickstart
 author: sdgilley
 ms.author: sgilley
 ms.reviewer: sgilley
-ms.date: 09/03/2024
+ms.date: 12/19/2024
 ms.custom:
   - sdkv2
   - build-2023
@@ -205,10 +205,32 @@ def main():
     ##########################
     # Registering the model to the workspace
     print("Registering the model via MLFlow")
+
+    # pin numpy
+    conda_env = {
+        'name': 'mlflow-env',
+        'channels': ['conda-forge'],
+        'dependencies': [
+            'python=3.10.15',
+            'pip<=21.3.1',
+            {
+                'pip': [
+                    'mlflow==2.17.0',
+                    'cloudpickle==2.2.1',
+                    'pandas==1.5.3',
+                    'psutil==5.8.0',
+                    'scikit-learn==1.5.2',
+                    'numpy==1.26.4',
+                ]
+            }
+        ],
+    }
+
     mlflow.sklearn.log_model(
         sk_model=clf,
         registered_model_name=args.registered_model_name,
         artifact_path=args.registered_model_name,
+        conda_env=conda_env,
     )
 
     # Saving the model to a file
@@ -231,6 +253,7 @@ As you can see in this script, once the model is trained, the model file is save
 
 You might need to select **Refresh** to see the new folder and script in your **Files**.
 
+
 :::image type="content" source="media/tutorial-azure-ml-in-a-day/refresh.png" alt-text="Screenshot shows the refresh icon.":::
 
 ## Configure the command