Oracle Machine Learning User Interface Home Page

The Oracle Machine Learning User Interface home page provides you quick links to important interfaces, help links, and the log of your high-level recent activities.

Figure 3: Oracle Machine Learning UI Home Page

Description of the illustration developer_homepage.png

On the home page, you can access:

• The How Do I help links to:

  • Get Started

  • Use AutoML

  • Deploy Models

  • Monitor Data

  • Create Notebooks

  • Create Jobs

  • Manage Permissions

  • Try It

• The Quick Actions links to:

  • AutoML

  • Workflows

  • Data Science Agent

  • Models

  • Notebooks

  • Data Monitors

  • Model Monitors

  • Scratchpad

  • Jobs

  • GitHub Credentials

  • GitHub Notebooks

  • Examples

• The log of your Recent Activities.

• The application navigation by clicking on the top left corner of the home page.

• The options to select and create new projects, access recent projects, manage workspace, and set workspace permissions by clicking on the top right corner of the home page.

• The Recent Notebooks on the right pane of the home page.

• Preferences You have the option to change your user preferences such as timezone settings in Oracle Machine Learning User Interface.

• GitHub Notebooks Oracle Machine Learning UI supports direct interaction of Oracle Machine Learning Notebooks with your external GitHub repositories. You can now directly import notebooks from your GitHub repositories.

• Change Password You have the option to change the password from Oracle Machine Learning User Interface.

Related Topics

• Notebooks

• Jobs

• Examples

Preferences

You have the option to change your user preferences such as timezone settings in Oracle Machine Learning User Interface.

To edit your user profile preferences:

1. Sign into Oracle Machine Learning User Interface.

2. Click on the user profile menu at the top right corner of the page and click Preferences.

   Figure 4: Preferences

   

   Description of the illustration oml-ui-preferences.png

3. On the Preferences page, you have the following options:

   • Profile: Click profile to view your Username, Role and other details such as First Name, Last Name and Email Address.

   • Language: Click Language to edit your Timezone settings. The Locale field is non-editable.

GitHub Notebooks

Oracle Machine Learning UI supports direct interaction of Oracle Machine Learning Notebooks with your external GitHub repositories. You can now directly import notebooks from your GitHub repositories.

With GitHub integration, you can interact with your GitHub repositories in the following ways:

• Notebook clone and import—You can import notebooks directly from your GitHub repository. When you import notebooks from your GitHub repository, it clones the notebooks and creates a local copy in OML UI by using the branching mechanism in GitHub. See Clone and Access your GitHub Notebooks and Import a Notebook.

• Notebook updates and sync—You can update remote changes in your notebooks and also upload local changes in the notebooks back to your GitHub repository using the version control options Pull changes and Push & commit in OML notebook editor. See Edit and Sync your GitHub Notebook.

• Credential management—You must have separate credentials to connect to your GitHub repositories. The credentials are created and securely stored in the Autonomous AI Database. See Create GitHub Credentials.

Change Password

You have the option to change the password from Oracle Machine Learning User Interface.

To change your password:

1. Sign into Oracle Machine Learning User Interface.

2. Click on the user profile menu at the top right corner of the page and click Change Password.

   Figure 5: Change Password

   

   Description of the illustration oml-ui-change-password.png

3. On the Change Password page, enter the following:

   1. Old Password

   2. Password

   3. Confirm Password

   4. Click Apply.

4. After your password is changed, a message is displayed indicating the same.

This completes the task of changing your password.

• About Oracle Machine Learning Password Policy All Oracle Machine Learning users must follow the password policy to create a strong and secure password.

About Oracle Machine Learning Password Policy

All Oracle Machine Learning users must follow the password policy to create a strong and secure password.

When changing or modifying your Oracle Machine Learning password, ensure that you follow these conditions:

• The password must be between 12 and 30 characters long. It must include at least one uppercase letter, one lowercase letter, and one numeric character.

• The password cannot contain the username.

• The password cannot be one of the last 4 passwords used for the same username.

• The password cannot contain the double quote (“) character.

• The password must not be the same password that is set less than 24 hours ago.