#[non_exhaustive]
pub struct BatchPrediction {
Show 16 fields 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>,
}
Expand description

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)

This struct is marked as 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

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

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

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

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

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.

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

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

A user-supplied name or description of the BatchPrediction.

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.

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

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

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

A timestamp represented in epoch time.

A timestamp represented in epoch time.

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

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

Creates a new builder-style object to manufacture BatchPrediction

Trait Implementations

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