Struct MlStatistics 

pub struct MlStatistics {
    pub hparam_trials: Option<Vec<HparamTuningTrial>>,
    pub iteration_results: Option<Vec<IterationResult>>,
    pub max_iterations: Option<i64>,
    pub model_type: Option<String>,
    pub training_type: Option<String>,
}

Job statistics specific to a BigQuery ML training job.

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

Fields

hparam_trials: Option<Vec<HparamTuningTrial>>

Output only. Trials of a hyperparameter tuning job sorted by trial_id.

iteration_results: Option<Vec<IterationResult>>

Results for all completed iterations. Empty for hyperparameter tuning jobs.

max_iterations: Option<i64>

Output only. Maximum number of iterations specified as max_iterations in the ‘CREATE MODEL’ query. The actual number of iterations may be less than this number due to early stop.

model_type: Option<String>

Output only. The type of the model that is being trained.

training_type: Option<String>

Output only. Training type of the job.

Trait Implementations

impl Clone for MlStatistics

fn clone(&self) -> MlStatistics

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for MlStatistics

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

Formats the value using the given formatter.

impl Default for MlStatistics

fn default() -> MlStatistics

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for MlStatistics

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for MlStatistics

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 MlStatistics