aws_sdk_forecast::operation::get_accuracy_metrics::builders

Struct GetAccuracyMetricsOutputBuilder

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

Expand description

A builder for GetAccuracyMetricsOutput.

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impl GetAccuracyMetricsOutputBuilder

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pub fn predictor_evaluation_results(self, input: EvaluationResult) -> Self

Appends an item to predictor_evaluation_results.

To override the contents of this collection use set_predictor_evaluation_results.

An array of results from evaluating the predictor.

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pub fn set_predictor_evaluation_results( self, input: Option<Vec<EvaluationResult>>, ) -> Self

An array of results from evaluating the predictor.

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pub fn get_predictor_evaluation_results(&self) -> &Option<Vec<EvaluationResult>>

An array of results from evaluating the predictor.

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pub fn is_auto_predictor(self, input: bool) -> Self

Whether the predictor was created with CreateAutoPredictor.

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pub fn set_is_auto_predictor(self, input: Option<bool>) -> Self

Whether the predictor was created with CreateAutoPredictor.

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

Whether the predictor was created with CreateAutoPredictor.

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pub fn auto_ml_override_strategy(self, input: AutoMlOverrideStrategy) -> Self

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.

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pub fn set_auto_ml_override_strategy( self, input: Option<AutoMlOverrideStrategy>, ) -> Self

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.

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pub fn get_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.

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pub fn optimization_metric(self, input: OptimizationMetric) -> Self

The accuracy metric used to optimize the predictor.

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pub fn set_optimization_metric(self, input: Option<OptimizationMetric>) -> Self

The accuracy metric used to optimize the predictor.

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

The accuracy metric used to optimize the predictor.

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pub fn build(self) -> GetAccuracyMetricsOutput

Consumes the builder and constructs a GetAccuracyMetricsOutput.

Trait Implementations§

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impl Clone for GetAccuracyMetricsOutputBuilder

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fn clone(&self) -> GetAccuracyMetricsOutputBuilder

Returns a duplicate of the value. Read more

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

Performs copy-assignment from source. Read more

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impl Debug for GetAccuracyMetricsOutputBuilder

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

Formats the value using the given formatter. Read more

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impl Default for GetAccuracyMetricsOutputBuilder

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fn default() -> GetAccuracyMetricsOutputBuilder

Returns the “default value” for a type. Read more

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impl PartialEq for GetAccuracyMetricsOutputBuilder

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

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

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

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

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impl StructuralPartialEq for GetAccuracyMetricsOutputBuilder

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impl UnwindSafe for GetAccuracyMetricsOutputBuilder

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GetAccuracyMetricsOutputBuilder

Struct GetAccuracyMetricsOutputBuilder Copy item path

Implementations§

impl GetAccuracyMetricsOutputBuilder

pub fn predictor_evaluation_results(self, input: EvaluationResult) -> Self

pub fn set_predictor_evaluation_results( self, input: Option<Vec<EvaluationResult>>, ) -> Self

pub fn get_predictor_evaluation_results(&self) -> &Option<Vec<EvaluationResult>>

pub fn is_auto_predictor(self, input: bool) -> Self

pub fn set_is_auto_predictor(self, input: Option<bool>) -> Self

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

pub fn auto_ml_override_strategy(self, input: AutoMlOverrideStrategy) -> Self

pub fn set_auto_ml_override_strategy( self, input: Option<AutoMlOverrideStrategy>, ) -> Self

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

pub fn optimization_metric(self, input: OptimizationMetric) -> Self

pub fn set_optimization_metric(self, input: Option<OptimizationMetric>) -> Self

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

pub fn build(self) -> GetAccuracyMetricsOutput

Trait Implementations§

impl Clone for GetAccuracyMetricsOutputBuilder

fn clone(&self) -> GetAccuracyMetricsOutputBuilder

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

impl Debug for GetAccuracyMetricsOutputBuilder

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

impl Default for GetAccuracyMetricsOutputBuilder

fn default() -> GetAccuracyMetricsOutputBuilder

impl PartialEq for GetAccuracyMetricsOutputBuilder

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

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

impl StructuralPartialEq for GetAccuracyMetricsOutputBuilder

Auto Trait Implementations§

impl Freeze for GetAccuracyMetricsOutputBuilder

impl RefUnwindSafe for GetAccuracyMetricsOutputBuilder

impl Send for GetAccuracyMetricsOutputBuilder

impl Sync for GetAccuracyMetricsOutputBuilder

impl Unpin for GetAccuracyMetricsOutputBuilder

impl UnwindSafe for GetAccuracyMetricsOutputBuilder

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Struct GetAccuracyMetricsOutputBuilder

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