Struct google_api_proto::google::cloud::bigquery::v2::model::TrainingRun

pub struct TrainingRun {
    pub training_options: Option<TrainingOptions>,
    pub start_time: Option<Timestamp>,
    pub results: Vec<IterationResult>,
    pub evaluation_metrics: Option<EvaluationMetrics>,
    pub data_split_result: Option<DataSplitResult>,
    pub model_level_global_explanation: Option<GlobalExplanation>,
    pub class_level_global_explanations: Vec<GlobalExplanation>,
    pub vertex_ai_model_id: String,
    pub vertex_ai_model_version: String,
}

Information about a single training query run for the model.

Fields

training_options: Option<TrainingOptions>

Output only. Options that were used for this training run, includes user specified and default options that were used.

start_time: Option<Timestamp>

Output only. The start time of this training run.

results: Vec<IterationResult>

Output only. Output of each iteration run, results.size() <= max_iterations.

evaluation_metrics: Option<EvaluationMetrics>

Output only. The evaluation metrics over training/eval data that were computed at the end of training.

data_split_result: Option<DataSplitResult>

Output only. Data split result of the training run. Only set when the input data is actually split.

model_level_global_explanation: Option<GlobalExplanation>

Output only. Global explanation contains the explanation of top features on the model level. Applies to both regression and classification models.

class_level_global_explanations: Vec<GlobalExplanation>

Output only. Global explanation contains the explanation of top features on the class level. Applies to classification models only.

vertex_ai_model_id: String

The model id in the Vertex AI Model Registry for this training run.

vertex_ai_model_version: String

Output only. The model version in the Vertex AI Model Registry for this training run.

Trait Implementations

impl Clone for TrainingRun

fn clone(&self) -> TrainingRun

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for TrainingRun

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

Formats the value using the given formatter.

impl Default for TrainingRun

fn default() -> Self

Returns the “default value” for a type.

impl Message for TrainingRun

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 TrainingRun

fn eq(&self, other: &TrainingRun) -> 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 TrainingRun