Struct TrainingRun

pub struct TrainingRun {
    pub class_level_global_explanations: Option<Vec<GlobalExplanation>>,
    pub data_split_result: Option<DataSplitResult>,
    pub evaluation_metrics: Option<EvaluationMetrics>,
    pub model_level_global_explanation: Option<GlobalExplanation>,
    pub results: Option<Vec<IterationResult>>,
    pub start_time: Option<DateTime<Utc>>,
    pub training_options: Option<TrainingOptions>,
    pub training_start_time: Option<i64>,
    pub vertex_ai_model_id: Option<String>,
    pub vertex_ai_model_version: Option<String>,
}

Information about a single training query run for the model.

This type is not used in any activity, and only used as part of another schema.

Fields

class_level_global_explanations: Option<Vec<GlobalExplanation>>

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

data_split_result: Option<DataSplitResult>

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

evaluation_metrics: Option<EvaluationMetrics>

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

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.

results: Option<Vec<IterationResult>>

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

start_time: Option<DateTime<Utc>>

Output only. The start time of this training run.

training_options: Option<TrainingOptions>

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

training_start_time: Option<i64>

Output only. The start time of this training run, in milliseconds since epoch.

vertex_ai_model_id: Option<String>

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

vertex_ai_model_version: Option<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 duplicate 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() -> TrainingRun

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for TrainingRun

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for TrainingRun

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl Part for TrainingRun