Struct GetAccuracyMetricsOutput

#[non_exhaustive]
pub struct GetAccuracyMetricsOutput {
    pub predictor_evaluation_results: Option<Vec<EvaluationResult>>,
    pub is_auto_predictor: Option<bool>,
    pub auto_ml_override_strategy: Option<AutoMlOverrideStrategy>,
    pub optimization_metric: Option<OptimizationMetric>,
    /* private fields */
}

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

predictor_evaluation_results: Option<Vec<EvaluationResult>>

An array of results from evaluating the predictor.

is_auto_predictor: Option<bool>

Whether the predictor was created with CreateAutoPredictor.

auto_ml_override_strategy: Option<AutoMlOverrideStrategy>

The LatencyOptimized AutoML override strategy is only available in private beta. Contact Amazon Web Services Support or your account manager to learn more about access privileges.

The AutoML strategy used to train the predictor. Unless LatencyOptimized is specified, the AutoML strategy optimizes predictor accuracy.

This parameter is only valid for predictors trained using AutoML.

optimization_metric: Option<OptimizationMetric>

The accuracy metric used to optimize the predictor.

Implementations

impl GetAccuracyMetricsOutput

pub fn predictor_evaluation_results(&self) -> &[EvaluationResult]

An array of results from evaluating the predictor.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .predictor_evaluation_results.is_none().

pub fn is_auto_predictor(&self) -> Option<bool>

Whether the predictor was created with CreateAutoPredictor.

pub fn auto_ml_override_strategy(&self) -> Option<&AutoMlOverrideStrategy>

The LatencyOptimized AutoML override strategy is only available in private beta. Contact Amazon Web Services Support or your account manager to learn more about access privileges.

The AutoML strategy used to train the predictor. Unless LatencyOptimized is specified, the AutoML strategy optimizes predictor accuracy.

This parameter is only valid for predictors trained using AutoML.

pub fn optimization_metric(&self) -> Option<&OptimizationMetric>

The accuracy metric used to optimize the predictor.

impl GetAccuracyMetricsOutput

pub fn builder() -> GetAccuracyMetricsOutputBuilder

Creates a new builder-style object to manufacture GetAccuracyMetricsOutput.

Trait Implementations

impl Clone for GetAccuracyMetricsOutput

fn clone(&self) -> GetAccuracyMetricsOutput

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for GetAccuracyMetricsOutput

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

Formats the value using the given formatter.

impl PartialEq for GetAccuracyMetricsOutput

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

Tests for self and other values to be equal, and is used by ==.

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

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

impl RequestId for GetAccuracyMetricsOutput

fn request_id(&self) -> Option<&str>

Returns the request ID, or None if the service could not be reached.

impl StructuralPartialEq for GetAccuracyMetricsOutput