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.

Service The Watson Studio, Watson Machine Learning, Watson OpenScale, and other supplemental services are not available by default. An administrator must install these services on the IBM Cloud Pak for Data platform. To determine whether a service is installed, open the Services catalog and check whether the service is enabled.

Running the manual setup

Follow these steps to start the manual setup:

1. Log in to IBM Cloud Pak for Data.
2. From the main menu, select Services > Instances.
3. From the Instances page, select the menu icon for your Watson OpenScale instance and click Open.
4. When the Model evaluation window appears, select Manual setup.

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

IBM Watson OpenScale for IBM Cloud Pak for Data uses a Db2 database to store model-related data, such as scoring payload and feedback data, and calculated metrics. Lite Db2 plans are not currently supported. Model evaluation requires a table space with a page size of at least 32 kB (32768). In addition to setting up a database, you must also select a schema for your database. A schema is a named collection of tables in the database. For Db2 options that are part of your cluster, see Services, Data Sources where you find options, such as Db2 Warehouse and Db2 Advanced Enterprise Server Edition. For an external database, you can use the IBM Db2 Database.

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

1. Click the Edit (pencil) icon on the Database configuration tile.
2. Select your Db2 database from the Database type drop-down menu, and then provide the following information:
   • Hostname or IP address
   • SSL Port
   • Database (name)
   • Username
   • Password
3. After you connect to your database, select a schema and click Save.
   You must provide the schema name explicitly if you provide a Db2 instance with limited access, which does not allow the schema name to be automatically generated.

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
• IBM SPSS Collaboration and Deployment Services (C&DS)

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 (pencil) icon beside Machine learning providers.
3. Optional: To enter a 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 and specify the connection details.
6. Click Save.

Next steps

Now you're ready to select deployments to monitor.