Struct aws_sdk_machinelearning::types::BatchPrediction

#[non_exhaustive]
pub struct BatchPrediction {

    pub batch_prediction_id: Option<String>,
    pub ml_model_id: Option<String>,
    pub batch_prediction_data_source_id: Option<String>,
    pub input_data_location_s3: Option<String>,
    pub created_by_iam_user: Option<String>,
    pub created_at: Option<DateTime>,
    pub last_updated_at: Option<DateTime>,
    pub name: Option<String>,
    pub status: Option<EntityStatus>,
    pub output_uri: Option<String>,
    pub message: Option<String>,
    pub compute_time: Option<i64>,
    pub finished_at: Option<DateTime>,
    pub started_at: Option<DateTime>,
    pub total_record_count: Option<i64>,
    pub invalid_record_count: Option<i64>,
}

Represents the output of a GetBatchPrediction operation.

The content consists of the detailed metadata, the status, and the data file information of a Batch Prediction.

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.

batch_prediction_id: Option<String>

The ID assigned to the BatchPrediction at creation. This value should be identical to the value of the BatchPredictionID in the request.

ml_model_id: Option<String>

The ID of the MLModel that generated predictions for the BatchPrediction request.

batch_prediction_data_source_id: Option<String>

The ID of the DataSource that points to the group of observations to predict.

input_data_location_s3: Option<String>

The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).

created_by_iam_user: Option<String>

The AWS user account that invoked the BatchPrediction. The account type can be either an AWS root account or an AWS Identity and Access Management (IAM) user account.

created_at: Option<DateTime>

The time that the BatchPrediction was created. The time is expressed in epoch time.

last_updated_at: Option<DateTime>

The time of the most recent edit to the BatchPrediction. The time is expressed in epoch time.

name: Option<String>

A user-supplied name or description of the BatchPrediction.

status: Option<EntityStatus>

The status of the BatchPrediction. This element can have one of the following values:

• PENDING - Amazon Machine Learning (Amazon ML) submitted a request to generate predictions for a batch of observations.

• INPROGRESS - The process is underway.

• FAILED - The request to perform a batch prediction did not run to completion. It is not usable.

• COMPLETED - The batch prediction process completed successfully.

• DELETED - The BatchPrediction is marked as deleted. It is not usable.

output_uri: Option<String>

The location of an Amazon S3 bucket or directory to receive the operation results. The following substrings are not allowed in the s3 key portion of the outputURI field: ':', '//', '/./', '/../'.

message: Option<String>

A description of the most recent details about processing the batch prediction request.

compute_time: Option<i64>

Long integer type that is a 64-bit signed number.

finished_at: Option<DateTime>

A timestamp represented in epoch time.

started_at: Option<DateTime>

A timestamp represented in epoch time.

total_record_count: Option<i64>

Long integer type that is a 64-bit signed number.

invalid_record_count: Option<i64>

Long integer type that is a 64-bit signed number.

Implementations

impl BatchPrediction

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

The ID assigned to the BatchPrediction at creation. This value should be identical to the value of the BatchPredictionID in the request.

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

The ID of the MLModel that generated predictions for the BatchPrediction request.

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

The ID of the DataSource that points to the group of observations to predict.

pub fn input_data_location_s3(&self) -> Option<&str>

The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).

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

The AWS user account that invoked the BatchPrediction. The account type can be either an AWS root account or an AWS Identity and Access Management (IAM) user account.

pub fn created_at(&self) -> Option<&DateTime>

The time that the BatchPrediction was created. The time is expressed in epoch time.

pub fn last_updated_at(&self) -> Option<&DateTime>

The time of the most recent edit to the BatchPrediction. The time is expressed in epoch time.

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

A user-supplied name or description of the BatchPrediction.

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

The status of the BatchPrediction. This element can have one of the following values:

• PENDING - Amazon Machine Learning (Amazon ML) submitted a request to generate predictions for a batch of observations.

• INPROGRESS - The process is underway.

• FAILED - The request to perform a batch prediction did not run to completion. It is not usable.

• COMPLETED - The batch prediction process completed successfully.

• DELETED - The BatchPrediction is marked as deleted. It is not usable.

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

The location of an Amazon S3 bucket or directory to receive the operation results. The following substrings are not allowed in the s3 key portion of the outputURI field: ':', '//', '/./', '/../'.

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

A description of the most recent details about processing the batch prediction request.

pub fn compute_time(&self) -> Option<i64>

Long integer type that is a 64-bit signed number.

pub fn finished_at(&self) -> Option<&DateTime>

A timestamp represented in epoch time.

pub fn started_at(&self) -> Option<&DateTime>

A timestamp represented in epoch time.

pub fn total_record_count(&self) -> Option<i64>

Long integer type that is a 64-bit signed number.

pub fn invalid_record_count(&self) -> Option<i64>

Long integer type that is a 64-bit signed number.

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