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Configuring Watson OpenScale with manual setup

Configuring Watson OpenScale with manual setup

You can use the manual setup to configure Watson OpenScale. 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.

Running the manual setup

Follow these steps to start the manual setup:

  1. Start Watson OpenScale from your account.
  2. Choose the Manual setup option.

The System setup page opens. To finish the manual setup, you must complete the steps that are described in the following sections.

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 Edit icon 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:
      a. Databases for PostgreSQL
      b. Db2
      c. Db2 Warehouse

    • To purchase a new database, click Purchase a database.

  3. Complete the details for your database connection and click Save.

Limitations

  • The database and IBM Watson Machine Learning instance must be deployed in the same account.
  • Watson OpenScale uses a PostgreSQL or Db2 database to store model-related data (feedback data, scoring payload) and calculated metrics. Lite Db2 plans are not currently supported.
  • The free Lite plan database is not GDPR-compliant. If your model processes personally identifiable information (PII), you must purchase a new database or use an existing database that does conform to GDPR rules.

Setting up a machine learning provider

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

  • 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 the Machine learning providers section, click Add machine learning provider.
  2. Optional: To change the default name, click the Edit Edit icon icon beside Machine learning providers.
  3. Optional: To enter a description, click the Edit Edit icon icon beside Description.
  4. To enter connection information, click the Edit Edit icon icon beside Connection.
  5. Choose a Service provider and specify the connection details.
  6. Click Save.

Managing users and roles

You must add the users that you want to have access to your Watson OpenScale evaluations and assign roles to determine which tasks they can complete.

Learn more

Parent topic: Setup options for Watson OpenScale

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