There is a command group 'az_ml v1 _model'. This group of commands could 'manage machine learning models'. The group of commands has global parameter '--debug' which means 'Increase logging verbosity to show all debug logs.'. The group of commands has global parameter '--help -h' which means 'Show this help message and exit.'. The group of commands has global parameter '--only-show-errors' which means 'Only show errors, suppressing warnings.'. The group of commands has global parameter '--output -o' which means 'Output format.'. The group of commands has global parameter '--query' which means 'JMESPath query string. See <a href="http://jmespath.org/">http://jmespath.org/</a> for more information and examples.'. The group of commands has global parameter '--subscription' which means 'Name or ID of subscription. You can configure the default subscription using `az account set -s NAME_OR_ID`.'. The group of commands has global parameter '--verbose' which means 'Increase logging verbosity. Use --debug for full debug logs.'. This group contains a child command 'az_ml v1 _model_package'.The syntax is: az ml model package [--cf]
                    [--ed]
                    [--entry-script]
                    [--environment-name]
                    [--environment-version]
                    [--ic]
                    [--il]
                    [--image-name]
                    [--model]
                    [--model-metadata-file]
                    [--no-wait]
                    [--output-path]
                    [--path]
                    [--resource-group]
                    [--rt]
                    [--sd]
                    [--subscription-id]
                    [--workspace-name]
                    [-v]. The parameter '--cf --conda-file' is optional. path to local file containing a conda environment definition to use for the package.. The parameter '--ed --environment-directory' is optional. directory for azure machine learning environment for packaging. it is the same directory path as provided in 'az ml environment scaffold' command.. The parameter '--entry-script --es' is optional. path to local file that contains the code to run for service (relative path from source_directory if one is provided).. The parameter '--environment-name -e' is optional. name of azure machine learning environment for packaging.. The parameter '--environment-version --ev' is optional. version of an existing azure machine learning environment for packaging.. The parameter '--ic --inference-config-file' is optional. path to a json or yaml file containing inference configuration.. The parameter '--il --image-label' is optional. label to give the built package image.. The parameter '--image-name --in' is optional. name to give the built package image.. The parameter '--model -m' is optional. the id of the model to be packaged. multiple models can be specified with additional -m arguments. models need to be registered first.. The parameter '--model-metadata-file -f' is optional. path to a json file containing model registration metadata. multiple models can be provided using multiple -f parameters.. The parameter '--no-wait' is optional. flag to not wait for asynchronous calls.. The parameter '--output-path' is optional. output path for docker context. if an output path is passed, instead of building an image in the workspace acr, a dockerfile and the necessary build context will be writen to that path.. The parameter '--path' is optional. path to a project folder. default: current directory.. The parameter '--resource-group -g' is optional. resource group corresponding to the provided workspace.. The parameter '--rt --runtime' is optional. which runtime to use for package. current supported runtimes are 'spark-py' and 'python'spark-py|python|python-slim.. The parameter '--sd --source-directory' is optional. path to folders that contain all files to create the image.. The parameter '--subscription-id' is optional. specifies the subscription id.. The parameter '--workspace-name -w' is optional. name of the workspace.. The parameter '-v' is optional. verbosity flag.. 