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_profile'.The syntax is: az ml model profile --name
                    [--base-image]
                    [--base-image-registry]
                    [--cc]
                    [--cf]
                    [--description]
                    [--ed]
                    [--entry-script]
                    [--environment-name]
                    [--environment-version]
                    [--gb]
                    [--ic]
                    [--idi]
                    [--model]
                    [--model-metadata-file]
                    [--output-metadata-file]
                    [--resource-group]
                    [--sd]
                    [--subscription-id]
                    [--workspace-name]
                    [-v]. The parameter '--name -n' is required. It is used to the name of the model profile.. The parameter '--base-image --bi' is optional. a custom image to be used as base image. if no base image is given then the base image will be used based off of given runtime parameter.. The parameter '--base-image-registry --ir' is optional. image registry that contains the base image.. The parameter '--cc --cpu-cores' is optional. double value for maximum cpu to use when profiling.. The parameter '--cf --conda-file' is optional. path to local file containing a conda environment definition to use for the image.. The parameter '--description' is optional. description of the model profile.. The parameter '--ed --environment-directory' is optional. directory for azure machine learning environment for deployment. 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 deployment.. The parameter '--environment-version --ev' is optional. version of an existing azure machine learning environment for deployment.. The parameter '--gb --memory-in-gb' is optional. double value for maximum memory to use when profiling.. The parameter '--ic --inference-config-file' is optional. path to a json or yaml file containing inference configuration.. The parameter '--idi --input-dataset-id' is optional. id of the tabular dataset to be used as input for the profile.. The parameter '--model -m' is optional. the id of the model to be deployed. 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 '--output-metadata-file -t' is optional. path to a json file where profile results metadata will be written. used as input for model deployment.. The parameter '--resource-group -g' is optional. resource group corresponding to the provided workspace.. 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.. 