def METHOD_NAME(feature_name: Optional[str] = None,
                                   name: Optional[str] = None,
                                   resource_group_name: Optional[str] = None,
                                   version: Optional[str] = None,
                                   workspace_name: Optional[str] = None,
                                   opts: Optional[pulumi.InvokeOptions] = None) -> AwaitableGetFeaturesetVersionFeatureResult:
    """
    Dto object representing feature
    :param str feature_name: Specifies name of the feature.
    :param str name: Feature set name. This is case-sensitive.
    :param str resource_group_name: The name of the resource group. The name is case insensitive.
    :param str version: Feature set version identifier. This is case-sensitive.
    :param str workspace_name: Name of Azure Machine Learning workspace.
    """
    __args__ = dict()
    __args__['featureName'] = feature_name
    __args__['name'] = name
    __args__['resourceGroupName'] = resource_group_name
    __args__['version'] = version
    __args__['workspaceName'] = workspace_name
    opts = pulumi.InvokeOptions.merge(_utilities.get_invoke_opts_defaults(), opts)
    __ret__ = pulumi.runtime.invoke('azure-native:machinelearningservices/v20230201preview:getFeaturesetVersionFeature', __args__, opts=opts, typ=GetFeaturesetVersionFeatureResult).value
    return AwaitableGetFeaturesetVersionFeatureResult(
        data_type=pulumi.get(__ret__, 'data_type'),
        description=pulumi.get(__ret__, 'description'),
        feature_name=pulumi.get(__ret__, 'feature_name'),
        tags=pulumi.get(__ret__, 'tags'))