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Setup options for Watson OpenScale

Setup options for Watson OpenScale

Choose a path for configuring Watson OpenScale according to your preference and level of expertise.

Automatic setup

The automatic setup option is a guided, no-code experience that sets up and configures a machine learning environment, a database, and a sample model. Follow the steps in the tour to learn to evaluate the sample model in Watson OpenScale. After the setup is complete, you can configure the service with your own database and add your own models to the dashboard. See Automatic setup.

Manual setup

Prepare Watson OpenScale by connecting to a database, setting up machine learning providers, specifying the environment type (pre-production or production), and optionally adding integrated services. See Manual setup.

Advanced setup

For data scientists who prefer working in Notebooks, learn how to use the OpenScale REST APIs or Python SDK to provision and configure the Watson OpenScale service. See Advanced setup.

Note: This module requires that Python 3 is installed, which includes the pip package management system. For instructions, see [Installing a Python module to set up model evaluation](cloud-alt-setup.html).

For more information, see APIs, SDKs, and tutorials.

Parent topic: Evaluating AI models with Watson OpenScale

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