#[non_exhaustive]pub struct GetEventPredictionOutput {
pub model_scores: Option<Vec<ModelScores>>,
pub rule_results: Option<Vec<RuleResult>>,
pub external_model_outputs: Option<Vec<ExternalModelOutputs>>,
/* private fields */
}Fields (Non-exhaustive)§
This struct is marked as non-exhaustive
Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.model_scores: 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.
rule_results: Option<Vec<RuleResult>>The results from the rules.
external_model_outputs: Option<Vec<ExternalModelOutputs>>The model scores for Amazon SageMaker models.
Implementations§
Source§impl GetEventPredictionOutput
impl GetEventPredictionOutput
Sourcepub fn model_scores(&self) -> &[ModelScores]
pub fn model_scores(&self) -> &[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.
If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .model_scores.is_none().
Sourcepub fn rule_results(&self) -> &[RuleResult]
pub fn rule_results(&self) -> &[RuleResult]
The results from the rules.
If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .rule_results.is_none().
Sourcepub fn external_model_outputs(&self) -> &[ExternalModelOutputs]
pub fn external_model_outputs(&self) -> &[ExternalModelOutputs]
The model scores for Amazon SageMaker models.
If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .external_model_outputs.is_none().
Source§impl GetEventPredictionOutput
impl GetEventPredictionOutput
Sourcepub fn builder() -> GetEventPredictionOutputBuilder
pub fn builder() -> GetEventPredictionOutputBuilder
Creates a new builder-style object to manufacture GetEventPredictionOutput.
Trait Implementations§
Source§impl Clone for GetEventPredictionOutput
impl Clone for GetEventPredictionOutput
Source§fn clone(&self) -> GetEventPredictionOutput
fn clone(&self) -> GetEventPredictionOutput
1.0.0 · Source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source. Read moreSource§impl Debug for GetEventPredictionOutput
impl Debug for GetEventPredictionOutput
Source§impl PartialEq for GetEventPredictionOutput
impl PartialEq for GetEventPredictionOutput
Source§impl RequestId for GetEventPredictionOutput
impl RequestId for GetEventPredictionOutput
Source§fn request_id(&self) -> Option<&str>
fn request_id(&self) -> Option<&str>
None if the service could not be reached.impl StructuralPartialEq for GetEventPredictionOutput
Auto Trait Implementations§
impl Freeze for GetEventPredictionOutput
impl RefUnwindSafe for GetEventPredictionOutput
impl Send for GetEventPredictionOutput
impl Sync for GetEventPredictionOutput
impl Unpin for GetEventPredictionOutput
impl UnwindSafe for GetEventPredictionOutput
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