There is a command group 'az_ml v1 _service'. This group of commands could 'manage operationalized services'. 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 _service_update'.The syntax is: az ml service update --name
                     [--add-property]
                     [--add-tag]
                     [--ae]
                     [--ai]
                     [--ar]
                     [--as]
                     [--at]
                     [--autoscale-max-replicas]
                     [--autoscale-min-replicas]
                     [--base-image]
                     [--base-image-registry]
                     [--cc]
                     [--ccl]
                     [--cf]
                     [--collect-model-data]
                     [--compute-target]
                     [--cuda-version]
                     [--dc]
                     [--description]
                     [--dn]
                     [--ds]
                     [--ed]
                     [--eg]
                     [--entry-script]
                     [--environment-name]
                     [--environment-version]
                     [--failure-threshold]
                     [--gb]
                     [--gbl]
                     [--gc]
                     [--ic]
                     [--id]
                     [--is-migration]
                     [--kp]
                     [--ks]
                     [--lo]
                     [--max-request-wait-time]
                     [--model]
                     [--model-metadata-file]
                     [--no-wait]
                     [--nr]
                     [--path]
                     [--period-seconds]
                     [--po]
                     [--remove-tag]
                     [--replica-max-concurrent-requests]
                     [--resource-group]
                     [--rt]
                     [--sc]
                     [--scoring-timeout-ms]
                     [--sd]
                     [--se]
                     [--sk]
                     [--sp]
                     [--st]
                     [--subscription-id]
                     [--timeout-seconds]
                     [--token-auth-enabled]
                     [--workspace-name]
                     [-v]. The parameter '--name -n' is required. It is used to the service name to update.. The parameter '--add-property' is optional. key/value property to add (e.g. key=value ). multiple properties can be specified with multiple --add-property options.. The parameter '--add-tag' is optional. key/value tag to add (e.g. key=value ). multiple tags can be specified with multiple --add-tag options.. The parameter '--ae --auth-enabled' is optional. whether or not to enable key auth for this webservice. defaults to false.. The parameter '--ai --enable-app-insights' is optional. whether or not to enable appinsights for this webservice. defaults to false.. The parameter '--ar --autoscale-refresh-seconds' is optional. how often the autoscaler should attempt to scale this webservice. defaults to 1.. The parameter '--as --autoscale-enabled' is optional. whether or not to enable autoscaling for this webservice. defaults to true if num_replicas is none.. The parameter '--at --autoscale-target-utilization' is optional. the target utilization (in percent out of 100) the autoscaler should attempt to maintain for this webservice. defaults to 70.. The parameter '--autoscale-max-replicas --ma' is optional. the maximum number of containers to use when autoscaling this webservice. defaults to 10.. The parameter '--autoscale-min-replicas --mi' is optional. the minimum number of containers to use when autoscaling this webservice. defaults to 1.. 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. the number of cpu cores to allocate for this webservice. can be a decimal. defaults to 0.1.. The parameter '--ccl --cpu-cores-limit' is optional. the max number of cpu cores this webservice is allowed to use. can be a decimal.. The parameter '--cf --conda-file' is optional. path to local file containing a conda environment definition to use for the image.. The parameter '--collect-model-data --md' is optional. whether or not to enable model data collection for this webservice. defaults to false.. The parameter '--compute-target' is optional. (preview) specifies the compute target with azureml extension installed to host migrated kubernetes online endpoint and deployment.. The parameter '--cuda-version --cv' is optional. version of cuda to install for images that need gpu support. the gpu image must be used on microsoft azure services such as azure container instances, azure machine learning compute, azure virtual machines, and azure kubernetes service. supported versions are 9.0, 9.1, and 10.0. if 'enable_gpu' is set, this defaults to '9.1'.. The parameter '--dc --deploy-config-file' is optional. path to a json file containing deployment metadata.. The parameter '--description -d' is optional. description of the service.. The parameter '--dn --dns-name-label' is optional. the dns name for this webservice.. The parameter '--ds --extra-docker-file-steps' is optional. path to local file containing additional docker steps to run when setting up image.. 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 '--eg --enable-gpu' is optional. whether or not to enable gpu support in the image. the gpu image must be used on microsoft azure services such as azure container instances, azure machine learning compute, azure virtual machines, and azure kubernetes service. defaults to false.. 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 '--failure-threshold --ft' is optional. when a pod starts and the liveness probe fails, kubernetes will try --failure-threshold times before giving up. defaults to 3. minimum value is 1.. The parameter '--gb --memory-gb' is optional. the amount of memory (in gb) to allocate for this webservice. can be a decimal.. The parameter '--gbl --memory-gb-limit' is optional. the max amount of memory (in gb) this webservice is allowed to use. can be a decimal.. The parameter '--gc --gpu-cores' is optional. the number of gpu cores to allocate for this webservice. default is 1.. The parameter '--ic --inference-config-file' is optional. path to a json or yaml file containing inference configuration.. The parameter '--id --initial-delay-seconds' is optional. number of seconds after the container has started before liveness probes are initiated. defaults to 310.. The parameter '--is-migration' is optional. (preview) whether or not to migrate aks web service to kubernetes online endpoint and deployment. defaults to false.. The parameter '--kp --primary-key' is optional. a primary auth key to use for this webservice.. The parameter '--ks --secondary-key' is optional. a secondary auth key to use for this webservice.. The parameter '--lo --location' is optional. the azure region to deploy this webservice to. if not specified the workspace location will be used. more details on available regions can be found here: https://azure.microsoft.com/en-us/global-infrastructure/services/?regions=all&products=container-instances.. The parameter '--max-request-wait-time --mr' is optional. the maximum amount of time a request will stay in the queue (in milliseconds) before returning a 503 error. defaults to 500.. 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 '--no-wait' is optional. flag to not wait for asynchronous calls.. The parameter '--nr --num-replicas' is optional. the number of containers to allocate for this webservice. no default, if this parameter is not set then the autoscaler is enabled by default.. The parameter '--path' is optional. path to a project folder. default: current directory.. The parameter '--period-seconds --ps' is optional. how often (in seconds) to perform the liveness probe. default to 10 seconds. minimum value is 1.. The parameter '--po --port' is optional. the local port on which to expose the service's http endpoint.. The parameter '--remove-tag' is optional. key of tag to remove. multiple tags can be specified with multiple --remove-tag options.. The parameter '--replica-max-concurrent-requests --rm' is optional. the number of maximum concurrent requests per node to allow for this webservice. defaults to 1.. 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 image. current supported runtimes are 'spark-py' and 'python'spark-py|python|python-slim.. The parameter '--sc --ssl-cname' is optional. the cname for if ssl is enabled. only applicable when updating an aci service.. The parameter '--scoring-timeout-ms --tm' is optional. a timeout to enforce for scoring calls to this webservice. defaults to 60000.. The parameter '--sd --source-directory' is optional. path to folders that contain all files to create the image.. The parameter '--se --ssl-enabled' is optional. whether or not to enable ssl for this webservice. defaults to false.. The parameter '--sk --ssl-key-pem-file' is optional. the key file needed if ssl is enabled.. The parameter '--sp --ssl-cert-pem-file' is optional. the cert file needed if ssl is enabled.. The parameter '--st --success-threshold' is optional. minimum consecutive successes for the liveness probe to be considered successful after having failed. defaults to 1. minimum value is 1.. The parameter '--subscription-id' is optional. specifies the subscription id.. The parameter '--timeout-seconds --ts' is optional. number of seconds after which the liveness probe times out. defaults to 2 second. minimum value is 1.. The parameter '--token-auth-enabled' is optional. whether or not to enable token auth for this webservice. only available for aks web services. defaults to false.. The parameter '--workspace-name -w' is optional. name of the workspace containing the service to update.. The parameter '-v' is optional. verbosity flag.. 