Struct google_ml1::api::GoogleCloudMlV1__Job

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

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

Fields

create_time: Option<String>

Output only. When the job was created.

end_time: Option<String>

Output only. When the job processing was completed.

error_message: Option<String>

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

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.

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.

prediction_input: Option<GoogleCloudMlV1__PredictionInput>

Input parameters to create a prediction job.

prediction_output: Option<GoogleCloudMlV1__PredictionOutput>

The current prediction job result.

start_time: Option<String>

Output only. When the job processing was started.

state: Option<String>

Output only. The detailed state of a job.

training_input: Option<GoogleCloudMlV1__TrainingInput>

Input parameters to create a training job.

training_output: Option<GoogleCloudMlV1__TrainingOutput>

The current training job result.

Trait Implementations

impl Clone for GoogleCloudMlV1__Job

fn clone(&self) -> GoogleCloudMlV1__Job

Returns a copy of the value.

pub 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 Default for GoogleCloudMlV1__Job

fn default() -> GoogleCloudMlV1__Job

Returns the “default value” for a type.

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.

impl RequestValue for GoogleCloudMlV1__Job

impl ResponseResult for GoogleCloudMlV1__Job

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.