Struct aws_sdk_frauddetector::types::BatchPrediction

#[non_exhaustive]
pub struct BatchPrediction {

    pub job_id: Option<String>,
    pub status: Option<AsyncJobStatus>,
    pub failure_reason: Option<String>,
    pub start_time: Option<String>,
    pub completion_time: Option<String>,
    pub last_heartbeat_time: Option<String>,
    pub input_path: Option<String>,
    pub output_path: Option<String>,
    pub event_type_name: Option<String>,
    pub detector_name: Option<String>,
    pub detector_version: Option<String>,
    pub iam_role_arn: Option<String>,
    pub arn: Option<String>,
    pub processed_records_count: Option<i32>,
    pub total_records_count: Option<i32>,
}

The batch prediction details.

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.

job_id: Option<String>

The job ID for the batch prediction.

status: Option<AsyncJobStatus>

The batch prediction status.

failure_reason: Option<String>

The reason a batch prediction job failed.

start_time: Option<String>

Timestamp of when the batch prediction job started.

completion_time: Option<String>

Timestamp of when the batch prediction job completed.

last_heartbeat_time: Option<String>

Timestamp of most recent heartbeat indicating the batch prediction job was making progress.

input_path: Option<String>

The Amazon S3 location of your training file.

output_path: Option<String>

The Amazon S3 location of your output file.

event_type_name: Option<String>

The name of the event type.

detector_name: Option<String>

The name of the detector.

detector_version: Option<String>

The detector version.

iam_role_arn: Option<String>

The ARN of the IAM role to use for this job request.

arn: Option<String>

The ARN of batch prediction job.

processed_records_count: Option<i32>

The number of records processed by the batch prediction job.

total_records_count: Option<i32>

The total number of records in the batch prediction job.

Implementations

impl BatchPrediction

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

The job ID for the batch prediction.

pub fn status(&self) -> Option<&AsyncJobStatus>

The batch prediction status.

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

The reason a batch prediction job failed.

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

Timestamp of when the batch prediction job started.

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

Timestamp of when the batch prediction job completed.

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

Timestamp of most recent heartbeat indicating the batch prediction job was making progress.

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

The Amazon S3 location of your training file.

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

The Amazon S3 location of your output file.

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

The name of the event type.

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

The name of the detector.

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

The detector version.

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

The ARN of the IAM role to use for this job request.

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

The ARN of batch prediction job.

pub fn processed_records_count(&self) -> Option<i32>

The number of records processed by the batch prediction job.

pub fn total_records_count(&self) -> Option<i32>

The total number of records in the batch prediction job.

impl BatchPrediction

pub fn builder() -> BatchPredictionBuilder

Creates a new builder-style object to manufacture BatchPrediction.

Trait Implementations

impl Clone for BatchPrediction

fn clone(&self) -> BatchPrediction

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for BatchPrediction

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

Formats the value using the given formatter.

impl PartialEq for BatchPrediction

fn eq(&self, other: &BatchPrediction) -> 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 StructuralPartialEq for BatchPrediction