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Configuring Watson OpenScale with manual setup
Configuring Watson OpenScale with manual setup

Configuring Watson OpenScale with manual setup

You can use the manual setup to configure Watson OpenScale for use. With manual setup, you can use existing assets, such as databases and deployment spaces and connect them to Watson OpenScale. You also have the flexibility to choose the environment type (pre-production or production) for your deployment. Unlike the auto setup, the manual setup does not install sample assets to demonstrate Watson OpenScale capabilities.

Before you begin

Ensure that you provision Watson OpenScale service to your account.

Running the manual setup

Follow these steps to run the manual setup:

  1. Start Watson OpenScale from your account.
  2. Choose the Manual setup option. The System setup page opens.

Adding a database connection

Connect Watson OpenScale to a database to store model transactions and model evaluation results. You can use a Free lite plan database to get started. Alternatively, if you have an existing PostgreSQL or Db2 database, you can use it in Watson OpenScale. You can also purchase a new database.

Follow these steps to add a database connection to Watson OpenScale:

  1. Ensure that the Database tab is open in the System setup page. Click the Edit (pencil) icon.
  2. Choose the database type:
    • To use the database at no cost, select the Free lite plan database from the list.
    • To use an existing database, choose one of the following options:
      • Compose for PostgreSQL
      • Databases for PostgreSQL
      • Db2
    • To purchase a new database, click Purchase a database.
  3. Complete the details for your database connection and click Save.

Setting up a machine learning provider

Watson OpenScale connects to deployed models stored in a machine learning environment, including pre-production and production environments. Machine learning service providers available in Watson OpenScale include:

  • Watson Machine Learning
  • Amazon SageMaker
  • Microsoft Azure ML Studio
  • Microsoft Azure ML Service

You can also use a custom service environment.

Follow these steps to connect Watson OpenScale to a machine learning provider:

  1. In System setup, open Machine learning providers and click Add machine learning provider.
  2. Optional: To change the default name, click the Edit (pencil) icon beside Machine learning providers.
  3. Optional: To enter provider description, click the Edit (pencil) icon beside Description.
  4. To enter connection information, click the Edit (pencil) icon beside Connection.
  5. Choose a Service provider, Deployment space, and Environment type.
  6. Click Save.

Optional: Adding integrated services

With manual setup, you can add extended capabilities to Watson OpenScale by connecting integrated services. You must provide connection information for the services that you want to connect.

For example, to ensure model data quality, regulator compliance, and overall financial risk governance, you can add IBM OpenPages as an integrated service to Watson OpenScale. Follow these steps to integrate IBM OpenPages with Watson OpenScale:

  1. In System setup, open the Integrations (optional) tab.
  2. Click the Edit (pencil) icon beside IBM OpenPages.
  3. Enter your IBM OpenPages URL, username, and Password to connect.
  4. Click Save.

Learn more

Parent topic: Getting started with auto setup

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