Struct aws_sdk_frauddetector::operation::get_event_prediction_metadata::GetEventPredictionMetadataOutput

#[non_exhaustive]
pub struct GetEventPredictionMetadataOutput {

    pub event_id: Option<String>,
    pub event_type_name: Option<String>,
    pub entity_id: Option<String>,
    pub entity_type: Option<String>,
    pub event_timestamp: Option<String>,
    pub detector_id: Option<String>,
    pub detector_version_id: Option<String>,
    pub detector_version_status: Option<String>,
    pub event_variables: Option<Vec<EventVariableSummary>>,
    pub rules: Option<Vec<EvaluatedRule>>,
    pub rule_execution_mode: Option<RuleExecutionMode>,
    pub outcomes: Option<Vec<String>>,
    pub evaluated_model_versions: Option<Vec<EvaluatedModelVersion>>,
    pub evaluated_external_models: Option<Vec<EvaluatedExternalModel>>,
    pub prediction_timestamp: Option<String>,
    /* 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.

event_id: Option<String>

The event ID.

event_type_name: Option<String>

The event type associated with the detector specified for this prediction.

entity_id: Option<String>

The entity ID.

entity_type: Option<String>

The entity type.

event_timestamp: Option<String>

The timestamp for when the prediction was generated for the associated event ID.

detector_id: Option<String>

The detector ID.

detector_version_id: Option<String>

The detector version ID.

detector_version_status: Option<String>

The status of the detector version.

event_variables: Option<Vec<EventVariableSummary>>

A list of event variables that influenced the prediction scores.

rules: Option<Vec<EvaluatedRule>>

List of rules associated with the detector version that were used for evaluating variable values.

rule_execution_mode: Option<RuleExecutionMode>

The execution mode of the rule used for evaluating variable values.

outcomes: Option<Vec<String>>

The outcomes of the matched rule, based on the rule execution mode.

evaluated_model_versions: Option<Vec<EvaluatedModelVersion>>

Model versions that were evaluated for generating predictions.

evaluated_external_models: Option<Vec<EvaluatedExternalModel>>

External (Amazon SageMaker) models that were evaluated for generating predictions.

prediction_timestamp: Option<String>

The timestamp that defines when the prediction was generated.

Implementations

impl GetEventPredictionMetadataOutput

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

The event ID.

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

The event type associated with the detector specified for this prediction.

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

The entity ID.

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

The entity type.

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

The timestamp for when the prediction was generated for the associated event ID.

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

The detector ID.

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

The detector version ID.

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

The status of the detector version.

pub fn event_variables(&self) -> &[EventVariableSummary]

A list of event variables that influenced the prediction scores.

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

pub fn rules(&self) -> &[EvaluatedRule]

List of rules associated with the detector version that were used for evaluating variable values.

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

pub fn rule_execution_mode(&self) -> Option<&RuleExecutionMode>

The execution mode of the rule used for evaluating variable values.

pub fn outcomes(&self) -> &[String]

The outcomes of the matched rule, based on the rule execution mode.

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

pub fn evaluated_model_versions(&self) -> &[EvaluatedModelVersion]

Model versions that were evaluated for generating predictions.

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

pub fn evaluated_external_models(&self) -> &[EvaluatedExternalModel]

External (Amazon SageMaker) models that were evaluated for generating predictions.

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

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

The timestamp that defines when the prediction was generated.

impl GetEventPredictionMetadataOutput

pub fn builder() -> GetEventPredictionMetadataOutputBuilder

Creates a new builder-style object to manufacture GetEventPredictionMetadataOutput.

Trait Implementations

impl Clone for GetEventPredictionMetadataOutput

fn clone(&self) -> GetEventPredictionMetadataOutput

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for GetEventPredictionMetadataOutput

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

Formats the value using the given formatter.

impl PartialEq for GetEventPredictionMetadataOutput

fn eq(&self, other: &GetEventPredictionMetadataOutput) -> 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 RequestId for GetEventPredictionMetadataOutput

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

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

impl StructuralPartialEq for GetEventPredictionMetadataOutput