There is a command group 'az_ml_component'. This group of commands could 'manage azure ml components'. 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_component_create'.The syntax is: az ml component create --file
                       [--name]
                       [--registry-name]
                       [--resource-group]
                       [--set]
                       [--skip-validation]
                       [--version]
                       [--workspace-name]. The 1th example of the child command would be to use it to 'create a component from a yaml specification file', the syntax is: az ml component create --file my_component.yml --resource-group my-resource-group --workspace-name my-workspace. The 2th example of the child command would be to use it to 'create a component from a yaml specification file with specified version', the syntax is: az ml component create --file my_component.yml --version 1 --resource-group my-resource-group --workspace-name my-workspace. The 3th example of the child command would be to use it to 'create a component in registry from a yaml specification file', the syntax is: az ml component create --file my_component.yml --registry-name my-registry-name --resource-group my-resource-group. The 4th example of the child command would be to use it to 'create a component in registry from a yaml specification file with specified version', the syntax is: az ml component create --file my_component.yml --version 1 --registry-name my-registry-name --resource-group my-resource-group. The parameter '--file -f' is required. It is used to local path to the yaml file containing the azure ml component specification. the yaml reference docs for component can be found at: https://aka.ms/ml-cli-v2-component-command-yaml-reference.. The parameter '--name -n' is optional. name of the component.. The parameter '--registry-name' is optional. if provided, the command will target the registry instead of a workspace. hence resource group and workspace won't be required.. The parameter '--resource-group -g' is optional. name of resource group. you can configure the default group using `az configure --defaults group=<name>`.. The parameter '--set' is optional. update an object by specifying a property path and value to set. example: --set property1.property2=<value>.. The parameter '--skip-validation' is optional. skip validation in creating the resource. note that dependent resources will not skip their validation in creating.. The parameter '--version -v' is optional. version of the component.. The parameter '--workspace-name -w' is optional. name of the azure ml workspace. you can configure the default workspace using `az configure --defaults workspace=<name>`.. 