Customizing Watson Machine Learning deployment runtimes

Create custom Watson Machine Learning deployment runtimes with libraries and packages that are required for your deployments.

If your model requires custom components such as extenal libraries, packages, user-defined transformers, estimators, or user-defined tensors, you can create a custom software specification that is derived from a predefined base specification. Python functions and Python scripts also support custom software specifications.

For more information, see Customizing runtimes with external libraries and packages.

Parent topic: Deploying and managing assets