Struct gapi_grpc::google::cloud::aiplatform::v1beta1::TensorboardExperiment

pub struct TensorboardExperiment {
    pub name: String,
    pub display_name: String,
    pub description: String,
    pub create_time: Option<Timestamp>,
    pub update_time: Option<Timestamp>,
    pub labels: HashMap<String, String>,
    pub etag: String,
    pub source: String,
}

A TensorboardExperiment is a group of TensorboardRuns, that are typically the results of a training job run, in a Tensorboard.

Fields

name: String

Output only. Name of the TensorboardExperiment. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}

display_name: String

User provided name of this TensorboardExperiment.

description: String

Description of this TensorboardExperiment.

create_time: Option<Timestamp>

Output only. Timestamp when this TensorboardExperiment was created.

update_time: Option<Timestamp>

Output only. Timestamp when this TensorboardExperiment was last updated.

labels: HashMap<String, String>

The labels with user-defined metadata to organize your Datasets.

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. No more than 64 user labels can be associated with one Dataset (System labels are excluded).

See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with “aiplatform.googleapis.com/” and are immutable. Following system labels exist for each Dataset:

• “aiplatform.googleapis.com/dataset_metadata_schema”:
  • output only, its value is the [metadata_schema’s][metadata_schema_uri] title.

etag: String

Used to perform consistent read-modify-write updates. If not set, a blind “overwrite” update happens.

source: String

Immutable. Source of the TensorboardExperiment. Example: a custom training job.

Trait Implementations

impl Clone for TensorboardExperiment

fn clone(&self) -> TensorboardExperiment

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for TensorboardExperiment

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

Formats the value using the given formatter.

impl Default for TensorboardExperiment

fn default() -> TensorboardExperiment

Returns the “default value” for a type.

impl Message for TensorboardExperiment

fn encode_raw<B>(&self, buf: &mut B) where
    B: BufMut, 

fn merge_field<B>(
    &mut self,
    tag: u32,
    wire_type: WireType,
    buf: &mut B,
    ctx: DecodeContext
) -> Result<(), DecodeError> where
    B: Buf, 

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.

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

Encodes the message to a buffer.

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

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

pub fn decode<B>(buf: B) -> Result<Self, DecodeError> where
    Self: Default,
    B: Buf, 

Decodes an instance of the message from a buffer.

pub fn decode_length_delimited<B>(buf: B) -> Result<Self, DecodeError> where
    Self: Default,
    B: Buf, 

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

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

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

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

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

impl PartialEq<TensorboardExperiment> for TensorboardExperiment

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

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

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

This method tests for !=.

impl StructuralPartialEq for TensorboardExperiment