Using the Aizen Jupyter Console

Aizen provides a JupyterLab interface called the Aizen Jupyter console for you to manage ML jobs.

Launching the Aizen Jupyter Console

1. In a browser, enter the application URL: http://<KUBERNETES CLUSTER INGRESS HOST>/aizen/console.

2. In the Sign in dialog box, enter your username and password, and click the Sign in button.

   This will launch the Aizen Jupyter console:

   

   Aizen Jupyter Console

Creating a Working Folder

It is recommended that you create a working folder for your project's ML files and then launch the notebook within that folder.

1. To create a working folder, right-click on the folders pane on the left side and select New Folder from the drop-down menu:

2. Enter a name for your project:

Opening the Aizen Notebook

1. Open the project folder that you created by double-clicking on the folder name.

2. Click on the Aizen (kernel) notebook button to launch the notebook.

   The Aizen notebook interface will appear:

   

   Aizen Notebook

In the Aizen notebook, you can run commands to create an ML project and to manage your ML workflow, such as configuring data sources and training and serving an ML model.

Creating a Project

Create a project for your ML workflow. All your ML jobs execute under a project. Typically, you will create a single project for all ML workflows related to the same set of data sources.

1. To create a project, enter the create project <project name> command in the code cell of the Aizen notebook:

   
2. Click the run icon in the toolbar to execute the command:

   
3. When the create project command finishes executing, you will see a Created project message indicating that the project was created.

   

The current working project is now set to the project that you just created.