cdswctl command reference

You can manage your Cloudera Machine Learning Workbench cluster with the CLI client (cdswctl) that exists within the Cloudera Machine Learning Workbench. Running cdswctl without any arguments prints a brief description of each command.

Table 1. Model CLI Command Reference
Command	Description and usage
`cdswctl login`	Enables you to log into the model CLI client
`cdswctl projects list`	Lists the projects
`cdswctl models create`	Creates a model with the specified parameters
`cdswctl models list`	Lists all models You can refine the search by specifying the `modelId`
`cdswctl models listBuild`	Llists the builds for a model You can monitor the status of the build by specifying the `modelId` and the `projectId`
`cdswctl models listDeployments`	List the deployments for a model You can refine the search by specifying the `modelId` Use the `statusSet` parameter to check the status of the model being deployed
`cdswctl models deploy`	Deploys a model with the specified parameters
`cdswctl models listReplicas`	Enables you to view the list of model replicas You also need this information to obtain replica logs
`cdswctl models getReplicaLogs`	Enables you to view the logs for a model replica
`cdswctl models restart`	Restarts a model Usage: `cdswctl models restart --modelDeploymentId=<deployment_ID>` Note: Running this command does not change the resources if you previously ran the `cdswctl models update` command
cdswctl models update	Changes the name, description, or visibility of the model To change a model’s resources, use the cdswctl models deploy command
cdswctl models delete	Deletes a model Usage: `cdswctl models delete --id=<model_ID>`