Struct google_ml1_beta1::GoogleCloudMlV1beta1__Version

pub struct GoogleCloudMlV1beta1__Version {
    pub description: Option<String>,
    pub runtime_version: Option<String>,
    pub manual_scaling: Option<GoogleCloudMlV1beta1__ManualScaling>,
    pub last_use_time: Option<String>,
    pub deployment_uri: Option<String>,
    pub create_time: Option<String>,
    pub is_default: Option<bool>,
    pub name: Option<String>,
}

Represents a version of the model.

Each version is a trained model deployed in the cloud, ready to handle prediction requests. A model can have multiple versions. You can get information about all of the versions of a given model by calling projects.models.versions.list.

Activities

This type is used in activities, which are methods you may call on this type or where this type is involved in. The list links the activity name, along with information about where it is used (one of request and response).

• models versions get projects (response)
• models versions create projects (request)
• models versions set default projects (response)

Fields

description: Option<String>

Optional. The description specified for the version when it was created.

runtime_version: Option<String>

Optional. The Google Cloud ML runtime version to use for this deployment. If not set, Google Cloud ML will choose a version.

manual_scaling: Option<GoogleCloudMlV1beta1__ManualScaling>

Optional. Manually select the number of nodes to use for serving the model. If unset (i.e., by default), the number of nodes used to serve the model automatically scales with traffic. However, care should be taken to ramp up traffic according to the model's ability to scale. If your model needs to handle bursts of traffic beyond it's ability to scale, it is recommended you set this field appropriately.

last_use_time: Option<String>

Output only. The time the version was last used for prediction.

deployment_uri: Option<String>

Required. The Google Cloud Storage location of the trained model used to create the version. See the overview of model deployment for more informaiton.

When passing Version to projects.models.versions.create the model service uses the specified location as the source of the model. Once deployed, the model version is hosted by the prediction service, so this location is useful only as a historical record. The total number of model files can't exceed 1000.

create_time: Option<String>

Output only. The time the version was created.

is_default: Option<bool>

Output only. If true, this version will be used to handle prediction requests that do not specify a version.

You can change the default version by calling projects.methods.versions.setDefault.

name: Option<String>

Required.The name specified for the version when it was created.

The version name must be unique within the model it is created in.

Trait Implementations

impl Default for GoogleCloudMlV1beta1__Version

fn default() -> GoogleCloudMlV1beta1__Version

Returns the "default value" for a type.

impl Clone for GoogleCloudMlV1beta1__Version

fn clone(&self) -> GoogleCloudMlV1beta1__Version

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for GoogleCloudMlV1beta1__Version

fn fmt(&self, __arg_0: &mut Formatter) -> Result

Formats the value using the given formatter.

impl RequestValue for GoogleCloudMlV1beta1__Version

impl ResponseResult for GoogleCloudMlV1beta1__Version