Struct GetEventPredictionOutputBuilder 

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

A builder for GetEventPredictionOutput.

Implementations

impl GetEventPredictionOutputBuilder

pub fn model_scores(self, input: ModelScores) -> Self

Appends an item to model_scores.

To override the contents of this collection use set_model_scores.

The model scores. Amazon Fraud Detector generates model scores between 0 and 1000, where 0 is low fraud risk and 1000 is high fraud risk. Model scores are directly related to the false positive rate (FPR). For example, a score of 600 corresponds to an estimated 10% false positive rate whereas a score of 900 corresponds to an estimated 2% false positive rate.

pub fn set_model_scores(self, input: Option<Vec<ModelScores>>) -> Self

The model scores. Amazon Fraud Detector generates model scores between 0 and 1000, where 0 is low fraud risk and 1000 is high fraud risk. Model scores are directly related to the false positive rate (FPR). For example, a score of 600 corresponds to an estimated 10% false positive rate whereas a score of 900 corresponds to an estimated 2% false positive rate.

pub fn get_model_scores(&self) -> &Option<Vec<ModelScores>>

The model scores. Amazon Fraud Detector generates model scores between 0 and 1000, where 0 is low fraud risk and 1000 is high fraud risk. Model scores are directly related to the false positive rate (FPR). For example, a score of 600 corresponds to an estimated 10% false positive rate whereas a score of 900 corresponds to an estimated 2% false positive rate.

pub fn rule_results(self, input: RuleResult) -> Self

Appends an item to rule_results.

To override the contents of this collection use set_rule_results.

The results from the rules.

pub fn set_rule_results(self, input: Option<Vec<RuleResult>>) -> Self

The results from the rules.

pub fn get_rule_results(&self) -> &Option<Vec<RuleResult>>

The results from the rules.

pub fn external_model_outputs(self, input: ExternalModelOutputs) -> Self

Appends an item to external_model_outputs.

To override the contents of this collection use set_external_model_outputs.

The model scores for Amazon SageMaker models.

pub fn set_external_model_outputs( self, input: Option<Vec<ExternalModelOutputs>>, ) -> Self

The model scores for Amazon SageMaker models.

pub fn get_external_model_outputs(&self) -> &Option<Vec<ExternalModelOutputs>>

The model scores for Amazon SageMaker models.

pub fn build(self) -> GetEventPredictionOutput

Consumes the builder and constructs a GetEventPredictionOutput.

Trait Implementations

impl Clone for GetEventPredictionOutputBuilder

fn clone(&self) -> GetEventPredictionOutputBuilder

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for GetEventPredictionOutputBuilder

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

Formats the value using the given formatter.

impl Default for GetEventPredictionOutputBuilder

fn default() -> GetEventPredictionOutputBuilder

Returns the “default value” for a type.

impl PartialEq for GetEventPredictionOutputBuilder

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

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

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 StructuralPartialEq for GetEventPredictionOutputBuilder