Struct google_bigquery2::TrainingRun

pub struct TrainingRun {
    pub data_split_result: Option<DataSplitResult>,
    pub evaluation_metrics: Option<EvaluationMetrics>,
    pub results: Option<Vec<IterationResult>>,
    pub start_time: Option<String>,
    pub training_options: Option<TrainingOptions>,
}

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

data_split_result: Option<DataSplitResult>

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

evaluation_metrics: Option<EvaluationMetrics>

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

results: Option<Vec<IterationResult>>

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

start_time: Option<String>

The start time of this training run.

training_options: Option<TrainingOptions>

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

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() -> 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 Part for TrainingRun

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.