[][src]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 Clone for BatchPrediction[src]

impl Debug for BatchPrediction[src]

impl Default for BatchPrediction[src]

impl<'de> Deserialize<'de> for BatchPrediction[src]

impl PartialEq<BatchPrediction> for BatchPrediction[src]

impl StructuralPartialEq for BatchPrediction[src]

Auto Trait Implementations

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impl<T> DeserializeOwned for T where
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impl<T> Instrument for T[src]

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impl<T> Same<T> for T

type Output = T

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    T: Clone
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type Owned = T

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impl<T, U> TryFrom<U> for T where
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type Error = Infallible

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type Error = <U as TryFrom<T>>::Error

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