Struct google_ml1::GoogleCloudMlV1__Job

pub struct GoogleCloudMlV1__Job {
    pub training_output: Option<GoogleCloudMlV1__TrainingOutput>,
    pub prediction_input: Option<GoogleCloudMlV1__PredictionInput>,
    pub error_message: Option<String>,
    pub job_id: Option<String>,
    pub labels: Option<HashMap<String, String>>,
    pub state: Option<String>,
    pub etag: Option<String>,
    pub start_time: Option<String>,
    pub training_input: Option<GoogleCloudMlV1__TrainingInput>,
    pub end_time: Option<String>,
    pub prediction_output: Option<GoogleCloudMlV1__PredictionOutput>,
    pub create_time: Option<String>,
}

Represents a training or prediction job.

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).

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

Fields

training_output: Option<GoogleCloudMlV1__TrainingOutput>

The current training job result.

prediction_input: Option<GoogleCloudMlV1__PredictionInput>

Input parameters to create a prediction job.

error_message: Option<String>

Output only. The details of a failure or a cancellation.

job_id: Option<String>

Required. The user-specified id of the job.

labels: Option<HashMap<String, String>>

Optional. One or more labels that you can add, to organize your jobs. 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.

state: Option<String>

Output only. The detailed state of a job.

etag: Option<String>

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

start_time: Option<String>

Output only. When the job processing was started.

training_input: Option<GoogleCloudMlV1__TrainingInput>

Input parameters to create a training job.

end_time: Option<String>

Output only. When the job processing was completed.

prediction_output: Option<GoogleCloudMlV1__PredictionOutput>

The current prediction job result.

create_time: Option<String>

Output only. When the job was created.

Trait Implementations

impl ResponseResult for GoogleCloudMlV1__Job

impl RequestValue for GoogleCloudMlV1__Job

impl Default for GoogleCloudMlV1__Job

fn default() -> GoogleCloudMlV1__Job

Returns the "default value" for a type.

impl Clone for GoogleCloudMlV1__Job

fn clone(&self) -> GoogleCloudMlV1__Job

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for GoogleCloudMlV1__Job

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

Formats the value using the given formatter.

impl Serialize for GoogleCloudMlV1__Job

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error> where
    __S: Serializer, 

Serialize this value into the given Serde serializer.

impl<'de> Deserialize<'de> for GoogleCloudMlV1__Job

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
    __D: Deserializer<'de>, 

Deserialize this value from the given Serde deserializer.