Struct google_ml1::GoogleCloudMlV1__Model

pub struct GoogleCloudMlV1__Model {
    pub regions: Option<Vec<String>>,
    pub etag: Option<String>,
    pub default_version: Option<GoogleCloudMlV1__Version>,
    pub description: Option<String>,
    pub labels: Option<HashMap<String, String>>,
    pub online_prediction_logging: Option<bool>,
    pub name: Option<String>,
}

Represents a machine learning solution.

A model can have multiple versions, each of which is a deployed, trained model ready to receive prediction requests. The model itself is just a container.

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 get projects (response)
• models patch projects (request)
• models create projects (request|response)

Fields

regions: Option<Vec<String>>

Optional. The list of regions where the model is going to be deployed. Currently only one region per model is supported. Defaults to 'us-central1' if nothing is set. See the available regions for ML Engine services. Note:

• No matter where a model is deployed, it can always be accessed by users from anywhere, both for online and batch prediction.
• The region for a batch prediction job is set by the region field when submitting the batch prediction job and does not take its value from this field.

etag: Option<String>

etag is used for optimistic concurrency control as a way to help prevent simultaneous updates of a model from overwriting each other. It is strongly suggested that systems make use of the etag in the read-modify-write cycle to perform model updates in order to avoid race conditions: An etag is returned in the response to GetModel, and systems are expected to put that etag in the request to UpdateModel to ensure that their change will be applied to the model as intended.

default_version: Option<GoogleCloudMlV1__Version>

Output only. The default version of the model. 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.

description: Option<String>

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

labels: Option<HashMap<String, String>>

Optional. One or more labels that you can add, to organize your models. Each label is a key-value pair, where both the key and the value are arbitrary strings that you supply. For more information, see the documentation on using labels.

online_prediction_logging: Option<bool>

Optional. If true, enables StackDriver Logging for online prediction. Default is false.

name: Option<String>

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

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

Trait Implementations

impl Default for GoogleCloudMlV1__Model

fn default() -> GoogleCloudMlV1__Model

Returns the "default value" for a type.

impl Clone for GoogleCloudMlV1__Model

fn clone(&self) -> GoogleCloudMlV1__Model

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for GoogleCloudMlV1__Model

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

Formats the value using the given formatter.

impl RequestValue for GoogleCloudMlV1__Model

impl ResponseResult for GoogleCloudMlV1__Model