Struct rusoto_machinelearning::BatchPrediction

pub struct BatchPrediction {
    pub batch_prediction_data_source_id: Option<String>,
    pub batch_prediction_id: Option<String>,
    pub compute_time: Option<i64>,
    pub created_at: Option<f64>,
    pub created_by_iam_user: Option<String>,
    pub finished_at: Option<f64>,
    pub input_data_location_s3: Option<String>,
    pub invalid_record_count: Option<i64>,
    pub last_updated_at: Option<f64>,
    pub ml_model_id: Option<String>,
    pub message: Option<String>,
    pub name: Option<String>,
    pub output_uri: Option<String>,
    pub started_at: Option<f64>,
    pub status: Option<String>,
    pub total_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

batch_prediction_data_source_id: Option<String>

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

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.

compute_time: Option<i64>

created_at: Option<f64>

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

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.

finished_at: Option<f64>

input_data_location_s3: Option<String>

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

invalid_record_count: Option<i64>

last_updated_at: Option<f64>

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

ml_model_id: Option<String>

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

message: Option<String>

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

name: Option<String>

A user-supplied name or description of the BatchPrediction.

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: ':', '//', '/./', '/../'.

started_at: Option<f64>

status: Option<String>

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.

total_record_count: Option<i64>

Trait Implementations

impl PartialEq<BatchPrediction> 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: &BatchPrediction) -> bool

This method tests for !=.

impl Default for BatchPrediction

fn default() -> BatchPrediction

Returns the "default value" for a type.

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<'de> Deserialize<'de> for BatchPrediction

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
    __D: Deserializer<'de>, 

Deserialize this value from the given Serde deserializer.