Struct rusoto_sagemaker::HyperParameterTuningJobObjective

pub struct HyperParameterTuningJobObjective {
    pub metric_name: String,
    pub type_: String,
}

Defines the objective metric for a hyperparameter tuning job. Hyperparameter tuning uses the value of this metric to evaluate the training jobs it launches, and returns the training job that results in either the highest or lowest value for this metric, depending on the value you specify for the Type parameter.

Fields

metric_name: String

The name of the metric to use for the objective metric.

type_: String

Whether to minimize or maximize the objective metric.

Trait Implementations

impl PartialEq<HyperParameterTuningJobObjective> for HyperParameterTuningJobObjective

fn eq(&self, other: &HyperParameterTuningJobObjective) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &HyperParameterTuningJobObjective) -> bool

This method tests for !=.

impl Default for HyperParameterTuningJobObjective

fn default() -> HyperParameterTuningJobObjective

Returns the "default value" for a type.

impl Clone for HyperParameterTuningJobObjective

fn clone(&self) -> HyperParameterTuningJobObjective

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for HyperParameterTuningJobObjective

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

Formats the value using the given formatter.

impl Serialize for HyperParameterTuningJobObjective

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 HyperParameterTuningJobObjective

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

Deserialize this value from the given Serde deserializer.