Enum google_api_proto::google::cloud::datalabeling::v1beta1::evaluation_job::State

#[repr(i32)]
pub enum State {
    Unspecified = 0,
    Scheduled = 1,
    Running = 2,
    Paused = 3,
    Stopped = 4,
}

State of the job.

Variants

Unspecified = 0

Scheduled = 1

The job is scheduled to run at the [configured interval][google.cloud.datalabeling.v1beta1.EvaluationJob.schedule]. You can [pause][google.cloud.datalabeling.v1beta1.DataLabelingService.PauseEvaluationJob] or [delete][google.cloud.datalabeling.v1beta1.DataLabelingService.DeleteEvaluationJob] the job.

When the job is in this state, it samples prediction input and output from your model version into your BigQuery table as predictions occur.

Running = 2

The job is currently running. When the job runs, Data Labeling Service does several things:

1. If you have configured your job to use Data Labeling Service for ground truth labeling, the service creates a [Dataset][google.cloud.datalabeling.v1beta1.Dataset] and a labeling task for all data sampled since the last time the job ran. Human labelers provide ground truth labels for your data. Human labeling may take hours, or even days, depending on how much data has been sampled. The job remains in the RUNNING state during this time, and it can even be running multiple times in parallel if it gets triggered again (for example 24 hours later) before the earlier run has completed. When human labelers have finished labeling the data, the next step occurs.
   
   If you have configured your job to provide your own ground truth labels, Data Labeling Service still creates a [Dataset][google.cloud.datalabeling.v1beta1.Dataset] for newly sampled data, but it expects that you have already added ground truth labels to the BigQuery table by this time. The next step occurs immediately.

2. Data Labeling Service creates an [Evaluation][google.cloud.datalabeling.v1beta1.Evaluation] by comparing your model version’s predictions with the ground truth labels.

If the job remains in this state for a long time, it continues to sample prediction data into your BigQuery table and will run again at the next interval, even if it causes the job to run multiple times in parallel.

Paused = 3

The job is not sampling prediction input and output into your BigQuery table and it will not run according to its schedule. You can [resume][google.cloud.datalabeling.v1beta1.DataLabelingService.ResumeEvaluationJob] the job.

Stopped = 4

The job has this state right before it is deleted.

Implementations

impl State

pub fn is_valid(value: i32) -> bool

Returns true if value is a variant of State.

pub fn from_i32(value: i32) -> Option<State>

👎Deprecated: Use the TryFrom<i32> implementation instead

Converts an i32 to a State, or None if value is not a valid variant.

impl State

pub fn as_str_name(&self) -> &'static str

String value of the enum field names used in the ProtoBuf definition.

The values are not transformed in any way and thus are considered stable (if the ProtoBuf definition does not change) and safe for programmatic use.

pub fn from_str_name(value: &str) -> Option<Self>

Creates an enum from field names used in the ProtoBuf definition.

Trait Implementations

impl Clone for State

fn clone(&self) -> State

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for State

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

Formats the value using the given formatter.

impl Default for State

fn default() -> State

Returns the “default value” for a type.

impl From<State> for i32

fn from(value: State) -> i32

Converts to this type from the input type.

impl Hash for State

fn hash<__H: Hasher>(&self, state: &mut __H)

Feeds this value into the given Hasher.

fn hash_slice<H>(data: &[Self], state: &mut H)

where H: Hasher, Self: Sized,

Feeds a slice of this type into the given Hasher.

impl Ord for State

fn cmp(&self, other: &State) -> Ordering

This method returns an Ordering between self and other.

fn max(self, other: Self) -> Self

where Self: Sized,

Compares and returns the maximum of two values.

fn min(self, other: Self) -> Self

where Self: Sized,

Compares and returns the minimum of two values.

fn clamp(self, min: Self, max: Self) -> Self

where Self: Sized + PartialOrd,

Restrict a value to a certain interval.

impl PartialEq for State

fn eq(&self, other: &State) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl PartialOrd for State

fn partial_cmp(&self, other: &State) -> Option<Ordering>

This method returns an ordering between self and other values if one exists.

fn lt(&self, other: &Rhs) -> bool

This method tests less than (for self and other) and is used by the < operator.

fn le(&self, other: &Rhs) -> bool

This method tests less than or equal to (for self and other) and is used by the <= operator.

fn gt(&self, other: &Rhs) -> bool

This method tests greater than (for self and other) and is used by the > operator.

fn ge(&self, other: &Rhs) -> bool

This method tests greater than or equal to (for self and other) and is used by the >= operator.

impl TryFrom<i32> for State

type Error = UnknownEnumValue

The type returned in the event of a conversion error.

fn try_from(value: i32) -> Result<State, UnknownEnumValue>

Performs the conversion.

impl Copy for State

impl Eq for State

impl StructuralPartialEq for State