Struct aws_sdk_sagemaker::types::MetricDefinition

#[non_exhaustive]
pub struct MetricDefinition { /* private fields */ }

Specifies a metric that the training algorithm writes to stderr or stdout. You can view these logs to understand how your training job performs and check for any errors encountered during training. SageMaker hyperparameter tuning captures all defined metrics. Specify one of the defined metrics to use as an objective metric using the TuningObjective parameter in the HyperParameterTrainingJobDefinition API to evaluate job performance during hyperparameter tuning.

Implementations

impl MetricDefinition

pub fn name(&self) -> Option<&str>

The name of the metric.

pub fn regex(&self) -> Option<&str>

A regular expression that searches the output of a training job and gets the value of the metric. For more information about using regular expressions to define metrics, see Defining metrics and environment variables.

impl MetricDefinition

pub fn builder() -> MetricDefinitionBuilder

Creates a new builder-style object to manufacture MetricDefinition.

Trait Implementations

impl Clone for MetricDefinition

fn clone(&self) -> MetricDefinition

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for MetricDefinition

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

Formats the value using the given formatter.

impl PartialEq<MetricDefinition> for MetricDefinition

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

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

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

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for MetricDefinition