Struct google_bigquery2::IterationResult

pub struct IterationResult {
    pub index: Option<i32>,
    pub eval_loss: Option<f64>,
    pub learn_rate: Option<f64>,
    pub duration_ms: Option<String>,
    pub training_loss: Option<f64>,
}

There is no detailed description.

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

Fields

index: Option<i32>

[Output-only, Beta] Index of the ML training iteration, starting from zero for each training run.

eval_loss: Option<f64>

[Output-only, Beta] Eval loss computed on the eval data at the end of the iteration. The eval loss is used for early stopping to avoid overfitting. No eval loss if eval_split_method option is specified as no_split or auto_split with input data size less than 500 rows.

learn_rate: Option<f64>

[Output-only, Beta] Learning rate used for this iteration, it varies for different training iterations if learn_rate_strategy option is not constant.

duration_ms: Option<String>

[Output-only, Beta] Time taken to run the training iteration in milliseconds.

training_loss: Option<f64>

[Output-only, Beta] Training loss computed on the training data at the end of the iteration. The training loss function is defined by model type.

Trait Implementations

impl Default for IterationResult

fn default() -> IterationResult

Returns the "default value" for a type.

impl Clone for IterationResult

fn clone(&self) -> IterationResult

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for IterationResult

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

Formats the value using the given formatter.

impl Part for IterationResult