LWMS ID:11114 - Fixed the following labs (#745)

* LWMS ID:11114 - Fixed the following labs

1. Lab1 - Create HeatWave DV Connection
2. Lab4 - Added ml_dev user for AutoML processing and updated sys.ML_TRAIN call
3. Lab5 - Changed connection user to ml_dev and fixed source code

* LWMS ID:11114 - @carmenberdant1 requested changes on Lab 5 task 3, step 6 the image is not showing correctly.

LWMS ID:11114 - @carmenberdant1 requested changes on Lab 5 task 3, step 6 the image is not showing correctly.

* LWMS ID:11114 - Added comments to Lab 4 Task 1.

LWMS ID:11114 - Added comments to Lab 4 Task 1.

heatwave-machine-learning/add-heatwave-cluster/add-heatwave-cluster.md

@@ -53,4 +53,4 @@ You may now **proceed to the next lab**
 
 - **Author** - Perside Foster, MySQL Solution Engineering
 - **Contributors** - Mandy Pang, MySQL Principal Product Manager,  Priscila Galvao, MySQL Solution Engineering, Nick Mader, MySQL Global Channel Enablement & Strategy Manager
-- **Last Updated By/Date** - Perside Foster, MySQL Solution Engineering, July 2023
+- **Last Updated By/Date** - Perside Foster, MySQL Solution Engineering, January 2025

heatwave-machine-learning/connect-dbs/connect-dbs.md

@@ -259,4 +259,4 @@ You may now **proceed to the next lab**
 
 - **Author** - Perside Foster, MySQL Solution Engineering
 - **Contributor** - Frédéric Descamps, MySQL Community Manager
-- **Last Updated By/Date** - Perside Foster,Jul 2023
+- **Last Updated By/Date** - Perside Foster, January 2025

heatwave-machine-learning/create-dbs/create-dbs.md

@@ -278,4 +278,4 @@ You may now **proceed to the next lab**.
 
 - **Contributors** - Mandy Pang, MySQL Principal Product Manager,  Priscila Galvao, MySQL Solution Engineering, Nick Mader, MySQL Global Channel Enablement & Strategy Manager, Frédéric Descamps, MySQL Community Manager
 
-- **Last Updated By/Date** - Perside Foster, MySQL Solution Engineering, July 2023
+- **Last Updated By/Date** - Perside Foster, MySQL Solution Engineering,January 2025

heatwave-machine-learning/develop/develop.md

@@ -138,14 +138,16 @@ In this lab, you will be guided through the following tasks:
     ```
 
     ```bash
-    <copy> sudo wget https://objectstorage.us-ashburn-1.oraclecloud.com/p/EQTHbWQcztdMROAhjbJBgPdyK8gqU-khhM871SJCxsmsMHqJlGvGrJ6z5uSQlxot/n/mysqlpm/b/mysql_iris_ml_app/o/iris_app.zip </copy>
+    <copy> sudo wget https://objectstorage.us-ashburn-1.oraclecloud.com/p/9WLLKC8BD0tfBdIJ98_x7dXLN9Kvow9ZPtBD35KVwzdqoIQshX1WBBMBB7AqIGMT/n/mysqlpm/b/mysql_iris_ml_app/o/iris_app.zip </copy>
     ```
 
     ```bash
     <copy>sudo unzip iris_app.zip</copy>
     ```
 
-3. Configure the application to connect to MySQL HeatWave. <br>
+   **Note** This application uses the "ml_dev" database username that you should have used to create  the Machine Learning Model.
+
+3. Configure the application to connect to MySQL HeatWave.
    Replace the database IP in config.php file with your heatwave database IP and save the file.
 
     ```bash
@@ -166,7 +168,7 @@ In this lab, you will be guided through the following tasks:
 
     ![Iris App Execution](./images/iris-web-php.png "iris-app-php run")
 
-6. Insert test values in the text boxes (you can use the examples in the page) and press '**Submit**' button to see the prediction:
+6. Insert test values in the text boxes (you can use the examples in the page) and press '**Submit**' button. Page down to see the prediction, explanation, and score:
 
      ![Test Iris App](./images/iris-web-php-result.png "iris-app-php test ")
 
@@ -175,4 +177,4 @@ In this lab, you will be guided through the following tasks:
 - **Author** - Perside Foster, MySQL Solution Engineering, Harsh Nayak, MySQL Solution Engineering
 
 - **Contributors** - Mandy Pang, MySQL Principal Product Manager,  Priscila Galvao, MySQL Solution Engineering, Nick Mader, MySQL Global Channel Enablement & Strategy Manager, Marco Carlessi, MySQL Solution Engineering
-- **Last Updated By/Date** - Perside Foster, MySQL Solution Engineering, Jul 2023
+- **Last Updated By/Date** - Perside Foster, MySQL Solution Engineering,January 2025

heatwave-machine-learning/do-heatwave-ml/do-heatwave-ml.md

@@ -22,7 +22,9 @@ _Estimated Time:_ 10 minutes
 
 In this lab, you will be guided through the following task:
 
+- Create Machine Learning user ml_dev
 - Load Iris Data into HeatWave
+- Create and test Machine Learning Model
 
 ### Prerequisites
 
@@ -36,31 +38,55 @@ In this lab, you will be guided through the following task:
 
     (Example: **ssh -i id_rsa opc@132.145.17....**)
 
-2. On the command line, connect to MySQL using the MySQL Shell client tool with the following command:
+2. In this lab we will create the user **ml_dev** and set the privilieges to build the AutoML model.
+
+3. On the command line, connect to the MySQL **admin** user  using the MySQL Shell client tool with the following command:
 
     ```bash
     <copy>mysqlsh -uadmin -p -h 10.... -P3306 --sql </copy>
     ```
 
     ![Connect](./images/heatwave-load-shell.png "heatwave-load-shell ")
 
-3. In this lab we use the administrative account previously created, but if you want to use a dedicated MySQL user, please remember to grant the following privileges to use HeatWave AutoML
+    a. Create the ml\_dev user used to create the  schema for the machine learning datasets
+
+    ```bash
+    <copy>CREATE USER 'ml_dev'@'%' IDENTIFIED BY 'Welcome#123';</copy>
+    ```
+
+    b. Grant ml\_dev the required privileges on the ml_data schema that contains the machine learning datasets
+
+    ```bash
+    <copy>GRANT CREATE, ALTER, DROP, INSERT, UPDATE, DELETE, SELECT ON ml_data.* TO 'ml_dev'@'%';</copy>
+    ```
+
+    c. Grant ml\_dev the required privileges on the ML_SCHEMA_ml_dev schema that contains the machine learning development objects
+
+    ```bash
+    <copy>GRANT CREATE, ALTER, DROP, INSERT, UPDATE, DELETE, SELECT ON ML_SCHEMA_ml_dev.* TO 'ml_dev'@'%';</copy>
+    ```
 
-    a. SELECT and ALTER privileges on the schema that contains the machine learning datasets
+    d. Grant ml\_dev SELECT and EXECUTE privileges on the MySQL sys schema where HeatWave AutoML routines reside;
 
     ```bash
-    <copy>GRANT SELECT, ALTER ON schema_name.* TO 'user_name'@'%';</copy>
+    <copy>GRANT SELECT, EXECUTE ON sys.* TO 'ml_dev'@'%';</copy>
     ```
 
-    b. SELECT and EXECUTE on the MySQL sys schema where HeatWave AutoML routines reside; for example:
+    e. Exit mysqlsh for admin user
 
     ```bash
-    <copy>GRANT SELECT, EXECUTE ON sys.* TO 'user_name'@'%';</copy>
+    <copy>\q</copy>
     ```
 
 ## Task 2: load training and test data
 
-1. To Create the Machine Learning schema and tables on the MySQL HeatWave DB System perform download the sample database with this command:
+1. On the command line, connect to the MySQL **ml\_dev** user  using the MySQL Shell client tool with the following command:
+
+    ```bash
+    <copy>mysqlsh -uml_dev -p -h 10.... -P3306 --sql </copy>
+    ```
+
+2. To Create the Machine Learning schema and tables on the MySQL HeatWave DB System perform download the sample database with this command:
 
     a. Click on this link to **Download file [iris-ml-data.txt](files/iris-ml-data.txt)**  to your local machine
     b. Open iris-ml-data.txt from your local machine with notepad
@@ -72,9 +98,9 @@ In this lab, you will be guided through the following task:
 
     ![MDS iris data execute](./images/iris-ml-data-execute.png "iris-ml-data-execute ")
 
-2. View the content of  your machine Learning schema (ml_data)
+3. View the content of  your machine Learning schema (ml_data)
 
-    a. Connected to the new database ml_data 
+    a. Connected to the new database ml_data
 
     ```bash
     <copy>use ml_data; </copy>
@@ -93,13 +119,13 @@ In this lab, you will be guided through the following task:
 1. Train the model using ML_TRAIN. Since this is a classification dataset, the classification task is specified to create a classification model:
 
     ```bash
-    <copy>CALL sys.ML_TRAIN('ml_data.iris_train', 'class',JSON_OBJECT('task', 'classification'), @iris_model);</copy>
+    <copy>CALL sys.ML_TRAIN('ml_data.iris_train', 'class', NULL, @iris_model);</copy>
     ```
 
 2. When the training operation finishes, the model handle is assigned to the @iris_model session variable, and the model is stored in your model catalog. You can view the entry in your model catalog using the following query:
 
     ```bash
-    <copy>SELECT model_id, model_handle, train_table_name FROM ML_SCHEMA_admin.MODEL_CATALOG;</copy>
+    <copy>SELECT model_id, model_handle, train_table_name FROM ML_SCHEMA_ml_dev.MODEL_CATALOG;</copy>
     ```
 
 3. Load the model into HeatWave AutoML using ML\_MODEL\_LOAD routine:
@@ -224,4 +250,4 @@ In this lab, you will be guided through the following task:
 - **Contributors** - Salil Pradhan, Principal Product Manager,
 Nick Mader, MySQL Global Channel Enablement & Strategy Manager
 Marco Carlessi, MySQL Solution Engineering
-- **Last Updated By/Date** - Perside Foster, MySQL Solution Engineering, Jul 2023
+- **Last Updated By/Date** - Perside Foster, MySQL Solution Engineering, January 2025

heatwave-machine-learning/introduction/introduction.md

@@ -72,4 +72,4 @@ In this lab, you will be guided through the following steps:
 - **Contributors** - Salil Pradhan, Principal Product Manager,
 Nick Mader, MySQL Global Channel Enablement & Strategy Manager
 Marco Carlessi, MySQL Solution Engineering
-- **Last Updated By/Date** - Marco Carlessi, MySQL Solution Engineering, Jul 2023
+- **Last Updated By/Date** - Marco Carlessi, MySQL Solution Engineering, January 2025

heatwave-machine-learning/stop-services/stop-services.md

@@ -64,4 +64,4 @@ In this lab, you will be guided through the following task:
 
 - **Author** - Perside Foster, MySQL Principal Solution Engineering
 - **Contributors** - Mandy Pang, MySQL Principal Product Manager,  Nick Mader, MySQL Global Channel Enablement & Strategy Manager
-- **Last Updated By/Date** - Perside Foster, MySQL Solution Engineering, July 2023
+- **Last Updated By/Date** - Perside Foster, MySQL Solution Engineering, January 2025