`ml`

Manage Watson Machine Learning.

Extended description

You can manage AI lifecycle configuration settings and automate the end-to-end flow.

Manage all aspects of a project, including creating or deleting projects, changing project hardware and software specifications, updating package extensions, and managing project members.
Prepare and manage data assets and connections.
Run experiments to perform actions such as creating and training models, managing models and model pipelines, promoting models to space, or creating new model revisions.
Manage all aspects of a deployment space, including creating and deleting deployment spaces, changing space hardware and software specifications, package extensions, and managing space members.
Deploy and score models and functions.
Create, manage, run, update, and delete deployment jobs.
Create a code package (*.zip archive file) and promote it to a space.

cpd-cli: Before you run any cpd-cli commands, download the cpd-cli 14.2.2 command-line utility for your operating system and IBM® Software Hub edition. For more information, see Installing the IBM Software Hub command-line interface (cpd-cli).
Common core services: The ml commands are relevant only when common core services are installed.

The ml command requires cluster administrator or similar roles.