Struct google_bigquery2::IterationResult

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

Information about a single iteration of the training run.

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

Fields

index: Option<i32>

Index of the iteration, 0 based.

learn_rate: Option<f64>

Learn rate used for this iteration.

training_loss: Option<f64>

Loss computed on the training data at the end of iteration.

eval_loss: Option<f64>

Loss computed on the eval data at the end of iteration.

duration_ms: Option<String>

Time taken to run the iteration in milliseconds.

cluster_infos: Option<Vec<ClusterInfo>>

[Beta] Information about top clusters for clustering models.

Trait Implementations

impl Part for IterationResult

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 Default for IterationResult

fn default() -> IterationResult

Returns the "default value" for a type.

impl Debug for IterationResult

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

Formats the value using the given formatter.

impl Serialize for IterationResult

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

Serialize this value into the given Serde serializer.

impl<'de> Deserialize<'de> for IterationResult

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
    __D: Deserializer<'de>, 

Deserialize this value from the given Serde deserializer.