Class: Aws::MachineLearning::Types::BatchPrediction

Inherits:

Struct

• Object
• Struct
• Aws::MachineLearning::Types::BatchPrediction

Defined in:

(unknown)

Overview

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.

Instance Attribute Summary

• #batch_prediction_data_source_id ⇒ String

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

• #batch_prediction_id ⇒ String

  The ID assigned to the BatchPrediction at creation.

• #compute_time ⇒ Integer

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

  .

• #created_at ⇒ Time

  The time that the BatchPrediction was created.

• #created_by_iam_user ⇒ String

  The AWS user account that invoked the BatchPrediction.

• #finished_at ⇒ Time

  A timestamp represented in epoch time.

  .

• #input_data_location_s3 ⇒ String

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

• #invalid_record_count ⇒ Integer

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

  .

• #last_updated_at ⇒ Time

  The time of the most recent edit to the BatchPrediction.

• #message ⇒ String

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

• #ml_model_id ⇒ String

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

• #name ⇒ String

  A user-supplied name or description of the BatchPrediction.

• #output_uri ⇒ String

  The location of an Amazon S3 bucket or directory to receive the operation results.

• #started_at ⇒ Time

  A timestamp represented in epoch time.

  .

• #status ⇒ String

  The status of the BatchPrediction.

• #total_record_count ⇒ Integer

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

  .

Instance Attribute Details

#batch_prediction_data_source_id ⇒ String

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

Returns:

• (String) —

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

#batch_prediction_id ⇒ String

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

Returns:

• (String) —

  The ID assigned to the BatchPrediction at creation.

#compute_time ⇒ Integer

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

Returns:

• (Integer) —

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

  .

#created_at ⇒ Time

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

Returns:

• (Time) —

  The time that the BatchPrediction was created.

#created_by_iam_user ⇒ 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.

Returns:

• (String) —

  The AWS user account that invoked the BatchPrediction.

#finished_at ⇒ Time

A timestamp represented in epoch time.

Returns:

• (Time) —

  A timestamp represented in epoch time.

  .

#input_data_location_s3 ⇒ String

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

Returns:

• (String) —

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

#invalid_record_count ⇒ Integer

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

Returns:

• (Integer) —

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

  .

#last_updated_at ⇒ Time

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

Returns:

• (Time) —

  The time of the most recent edit to the BatchPrediction.

#message ⇒ String

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

Returns:

• (String) —

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

#ml_model_id ⇒ String

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

Returns:

• (String) —

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

#name ⇒ String

A user-supplied name or description of the BatchPrediction.

Returns:

• (String) —

  A user-supplied name or description of the BatchPrediction.

#output_uri ⇒ 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: \':\', \'//\', \'/./\', \'/../\'.

Returns:

• (String) —

  The location of an Amazon S3 bucket or directory to receive the operation results.

#started_at ⇒ Time

A timestamp represented in epoch time.

Returns:

• (Time) —

  A timestamp represented in epoch time.

  .

#status ⇒ 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.

  Possible values:

  • PENDING
  • INPROGRESS
  • FAILED
  • COMPLETED
  • DELETED

Returns:

• (String) —

  The status of the BatchPrediction.

#total_record_count ⇒ Integer

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

Returns:

• (Integer) —

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

  .