Struct google_api_proto::google::cloud::aiplatform::v1::TuningJob

pub struct TuningJob {

    pub name: String,
    pub tuned_model_display_name: String,
    pub description: String,
    pub state: i32,
    pub create_time: Option<Timestamp>,
    pub start_time: Option<Timestamp>,
    pub end_time: Option<Timestamp>,
    pub update_time: Option<Timestamp>,
    pub error: Option<Status>,
    pub labels: BTreeMap<String, String>,
    pub experiment: String,
    pub tuned_model: Option<TunedModel>,
    pub tuning_data_stats: Option<TuningDataStats>,
    pub encryption_spec: Option<EncryptionSpec>,
    pub source_model: Option<SourceModel>,
    pub tuning_spec: Option<TuningSpec>,
}

Represents a TuningJob that runs with Google owned models.

Fields

name: String

Output only. Identifier. Resource name of a TuningJob. Format: projects/{project}/locations/{location}/tuningJobs/{tuning_job}

tuned_model_display_name: String

Optional. The display name of the [TunedModel][google.cloud.aiplatform.v1.Model]. The name can be up to 128 characters long and can consist of any UTF-8 characters.

description: String

Optional. The description of the [TuningJob][google.cloud.aiplatform.v1.TuningJob].

state: i32

Output only. The detailed state of the job.

create_time: Option<Timestamp>

Output only. Time when the [TuningJob][google.cloud.aiplatform.v1.TuningJob] was created.

start_time: Option<Timestamp>

Output only. Time when the [TuningJob][google.cloud.aiplatform.v1.TuningJob] for the first time entered the JOB_STATE_RUNNING state.

end_time: Option<Timestamp>

Output only. Time when the TuningJob entered any of the following [JobStates][google.cloud.aiplatform.v1.JobState]: JOB_STATE_SUCCEEDED, JOB_STATE_FAILED, JOB_STATE_CANCELLED, JOB_STATE_EXPIRED.

update_time: Option<Timestamp>

Output only. Time when the [TuningJob][google.cloud.aiplatform.v1.TuningJob] was most recently updated.

error: Option<Status>

Output only. Only populated when job’s state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.

labels: BTreeMap<String, String>

Optional. The labels with user-defined metadata to organize [TuningJob][google.cloud.aiplatform.v1.TuningJob] and generated resources such as [Model][google.cloud.aiplatform.v1.Model] and [Endpoint][google.cloud.aiplatform.v1.Endpoint].

Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed.

See https://goo.gl/xmQnxf for more information and examples of labels.

experiment: String

Output only. The Experiment associated with this [TuningJob][google.cloud.aiplatform.v1.TuningJob].

tuned_model: Option<TunedModel>

Output only. The tuned model resources assiociated with this [TuningJob][google.cloud.aiplatform.v1.TuningJob].

tuning_data_stats: Option<TuningDataStats>

Output only. The tuning data statistics associated with this [TuningJob][google.cloud.aiplatform.v1.TuningJob].

encryption_spec: Option<EncryptionSpec>

Customer-managed encryption key options for a TuningJob. If this is set, then all resources created by the TuningJob will be encrypted with the provided encryption key.

source_model: Option<SourceModel>

tuning_spec: Option<TuningSpec>

Implementations

impl TuningJob

pub fn state(&self) -> JobState

Returns the enum value of state, or the default if the field is set to an invalid enum value.

pub fn set_state(&mut self, value: JobState)

Sets state to the provided enum value.

Trait Implementations

impl Clone for TuningJob

fn clone(&self) -> TuningJob

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for TuningJob

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

Formats the value using the given formatter.

impl Default for TuningJob

fn default() -> Self

Returns the “default value” for a type.

impl Message for TuningJob

fn encoded_len(&self) -> usize

Returns the encoded length of the message without a length delimiter.

fn clear(&mut self)

Clears the message, resetting all fields to their default.

fn encode(&self, buf: &mut impl BufMut) -> Result<(), EncodeError>

where Self: Sized,

Encodes the message to a buffer.

fn encode_to_vec(&self) -> Vec<u8>

where Self: Sized,

Encodes the message to a newly allocated buffer.

fn encode_length_delimited( &self, buf: &mut impl BufMut, ) -> Result<(), EncodeError>

where Self: Sized,

Encodes the message with a length-delimiter to a buffer.

fn encode_length_delimited_to_vec(&self) -> Vec<u8>

where Self: Sized,

Encodes the message with a length-delimiter to a newly allocated buffer.

fn decode(buf: impl Buf) -> Result<Self, DecodeError>

where Self: Default,

Decodes an instance of the message from a buffer.

fn decode_length_delimited(buf: impl Buf) -> Result<Self, DecodeError>

where Self: Default,

Decodes a length-delimited instance of the message from the buffer.

fn merge(&mut self, buf: impl Buf) -> Result<(), DecodeError>

where Self: Sized,

Decodes an instance of the message from a buffer, and merges it into self.

fn merge_length_delimited(&mut self, buf: impl Buf) -> Result<(), DecodeError>

where Self: Sized,

Decodes a length-delimited instance of the message from buffer, and merges it into self.

impl PartialEq for TuningJob

fn eq(&self, other: &TuningJob) -> 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 StructuralPartialEq for TuningJob