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Customizing Watson Machine Learning deployment runtimes

Customizing Watson Machine Learning deployment runtimes

Create custom Watson Machine Learning deployment runtimes with libraries and packages that are required for your deployments. You can build custom images based on deployment runtime images available in IBM Watson Machine Learning. The images contain preselected open source libraries and selected IBM libraries.

For a list of requirements for creating private Python packages, refer to Requirements for using custom components in ML models.

You can customize your deployment runtimes by customizing Python runtimes with third-party libraries and user-created Python packages

Parent topic: Deploying and managing assets

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