Class: Aws::MachineLearning::Types::GetBatchPredictionOutput

Inherits:

Struct

• Object
• Struct
• Aws::MachineLearning::Types::GetBatchPredictionOutput

Includes:

Structure

Defined in:

lib/aws-sdk-machinelearning/types.rb

Overview

Represents the output of a ‘GetBatchPrediction` operation and describes a `BatchPrediction`.

Constant Summary

SENSITIVE =

[]

Instance Attribute Summary

• #batch_prediction_data_source_id ⇒ String

  The ID of the ‘DataSource` that was used to create the `BatchPrediction`.

• #batch_prediction_id ⇒ String

  An ID assigned to the ‘BatchPrediction` at creation.

• #compute_time ⇒ Integer

  The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the ‘BatchPrediction`, normalized and scaled on computation resources.

• #created_at ⇒ Time

  The time when the ‘BatchPrediction` was created.

• #created_by_iam_user ⇒ String

  The AWS user account that invoked the ‘BatchPrediction`.

• #finished_at ⇒ Time

  The epoch time when Amazon Machine Learning marked the ‘BatchPrediction` as `COMPLETED` or `FAILED`.

• #input_data_location_s3 ⇒ String

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

• #invalid_record_count ⇒ Integer

  The number of invalid records that Amazon Machine Learning saw while processing the ‘BatchPrediction`.

• #last_updated_at ⇒ Time

  The time of the most recent edit to ‘BatchPrediction`.

• #log_uri ⇒ String

  A link to the file that contains logs of the ‘CreateBatchPrediction` operation.

• #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

  The epoch time when Amazon Machine Learning marked the ‘BatchPrediction` as `INPROGRESS`.

• #status ⇒ String

  The status of the ‘BatchPrediction`, which can be one of the following values:.

• #total_record_count ⇒ Integer

  The number of total records that Amazon Machine Learning saw while processing the ‘BatchPrediction`.

Instance Attribute Details

#batch_prediction_data_source_id ⇒ String

The ID of the ‘DataSource` that was used to create the `BatchPrediction`.

# File 'lib/aws-sdk-machinelearning/types.rb', line 1804

class GetBatchPredictionOutput < Struct.new(
  :batch_prediction_id,
  :ml_model_id,
  :batch_prediction_data_source_id,
  :input_data_location_s3,
  :created_by_iam_user,
  :created_at,
  :last_updated_at,
  :name,
  :status,
  :output_uri,
  :log_uri,
  :message,
  :compute_time,
  :finished_at,
  :started_at,
  :total_record_count,
  :invalid_record_count)
  SENSITIVE = []
  include Aws::Structure
end

#batch_prediction_id ⇒ String

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

# File 'lib/aws-sdk-machinelearning/types.rb', line 1804

class GetBatchPredictionOutput < Struct.new(
  :batch_prediction_id,
  :ml_model_id,
  :batch_prediction_data_source_id,
  :input_data_location_s3,
  :created_by_iam_user,
  :created_at,
  :last_updated_at,
  :name,
  :status,
  :output_uri,
  :log_uri,
  :message,
  :compute_time,
  :finished_at,
  :started_at,
  :total_record_count,
  :invalid_record_count)
  SENSITIVE = []
  include Aws::Structure
end

#compute_time ⇒ Integer

The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the ‘BatchPrediction`, normalized and scaled on computation resources. `ComputeTime` is only available if the `BatchPrediction` is in the `COMPLETED` state.

# File 'lib/aws-sdk-machinelearning/types.rb', line 1804

class GetBatchPredictionOutput < Struct.new(
  :batch_prediction_id,
  :ml_model_id,
  :batch_prediction_data_source_id,
  :input_data_location_s3,
  :created_by_iam_user,
  :created_at,
  :last_updated_at,
  :name,
  :status,
  :output_uri,
  :log_uri,
  :message,
  :compute_time,
  :finished_at,
  :started_at,
  :total_record_count,
  :invalid_record_count)
  SENSITIVE = []
  include Aws::Structure
end

#created_at ⇒ Time

The time when the ‘BatchPrediction` was created. The time is expressed in epoch time.

# File 'lib/aws-sdk-machinelearning/types.rb', line 1804

class GetBatchPredictionOutput < Struct.new(
  :batch_prediction_id,
  :ml_model_id,
  :batch_prediction_data_source_id,
  :input_data_location_s3,
  :created_by_iam_user,
  :created_at,
  :last_updated_at,
  :name,
  :status,
  :output_uri,
  :log_uri,
  :message,
  :compute_time,
  :finished_at,
  :started_at,
  :total_record_count,
  :invalid_record_count)
  SENSITIVE = []
  include Aws::Structure
end

#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.

# File 'lib/aws-sdk-machinelearning/types.rb', line 1804

class GetBatchPredictionOutput < Struct.new(
  :batch_prediction_id,
  :ml_model_id,
  :batch_prediction_data_source_id,
  :input_data_location_s3,
  :created_by_iam_user,
  :created_at,
  :last_updated_at,
  :name,
  :status,
  :output_uri,
  :log_uri,
  :message,
  :compute_time,
  :finished_at,
  :started_at,
  :total_record_count,
  :invalid_record_count)
  SENSITIVE = []
  include Aws::Structure
end

#finished_at ⇒ Time

The epoch time when Amazon Machine Learning marked the ‘BatchPrediction` as `COMPLETED` or `FAILED`. `FinishedAt` is only available when the `BatchPrediction` is in the `COMPLETED` or `FAILED` state.

# File 'lib/aws-sdk-machinelearning/types.rb', line 1804

class GetBatchPredictionOutput < Struct.new(
  :batch_prediction_id,
  :ml_model_id,
  :batch_prediction_data_source_id,
  :input_data_location_s3,
  :created_by_iam_user,
  :created_at,
  :last_updated_at,
  :name,
  :status,
  :output_uri,
  :log_uri,
  :message,
  :compute_time,
  :finished_at,
  :started_at,
  :total_record_count,
  :invalid_record_count)
  SENSITIVE = []
  include Aws::Structure
end

#input_data_location_s3 ⇒ String

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

# File 'lib/aws-sdk-machinelearning/types.rb', line 1804

class GetBatchPredictionOutput < Struct.new(
  :batch_prediction_id,
  :ml_model_id,
  :batch_prediction_data_source_id,
  :input_data_location_s3,
  :created_by_iam_user,
  :created_at,
  :last_updated_at,
  :name,
  :status,
  :output_uri,
  :log_uri,
  :message,
  :compute_time,
  :finished_at,
  :started_at,
  :total_record_count,
  :invalid_record_count)
  SENSITIVE = []
  include Aws::Structure
end

#invalid_record_count ⇒ Integer

The number of invalid records that Amazon Machine Learning saw while processing the ‘BatchPrediction`.

# File 'lib/aws-sdk-machinelearning/types.rb', line 1804

class GetBatchPredictionOutput < Struct.new(
  :batch_prediction_id,
  :ml_model_id,
  :batch_prediction_data_source_id,
  :input_data_location_s3,
  :created_by_iam_user,
  :created_at,
  :last_updated_at,
  :name,
  :status,
  :output_uri,
  :log_uri,
  :message,
  :compute_time,
  :finished_at,
  :started_at,
  :total_record_count,
  :invalid_record_count)
  SENSITIVE = []
  include Aws::Structure
end

#last_updated_at ⇒ Time

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

# File 'lib/aws-sdk-machinelearning/types.rb', line 1804

class GetBatchPredictionOutput < Struct.new(
  :batch_prediction_id,
  :ml_model_id,
  :batch_prediction_data_source_id,
  :input_data_location_s3,
  :created_by_iam_user,
  :created_at,
  :last_updated_at,
  :name,
  :status,
  :output_uri,
  :log_uri,
  :message,
  :compute_time,
  :finished_at,
  :started_at,
  :total_record_count,
  :invalid_record_count)
  SENSITIVE = []
  include Aws::Structure
end

#log_uri ⇒ String

A link to the file that contains logs of the ‘CreateBatchPrediction` operation.

# File 'lib/aws-sdk-machinelearning/types.rb', line 1804

class GetBatchPredictionOutput < Struct.new(
  :batch_prediction_id,
  :ml_model_id,
  :batch_prediction_data_source_id,
  :input_data_location_s3,
  :created_by_iam_user,
  :created_at,
  :last_updated_at,
  :name,
  :status,
  :output_uri,
  :log_uri,
  :message,
  :compute_time,
  :finished_at,
  :started_at,
  :total_record_count,
  :invalid_record_count)
  SENSITIVE = []
  include Aws::Structure
end

#message ⇒ String

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

# File 'lib/aws-sdk-machinelearning/types.rb', line 1804

class GetBatchPredictionOutput < Struct.new(
  :batch_prediction_id,
  :ml_model_id,
  :batch_prediction_data_source_id,
  :input_data_location_s3,
  :created_by_iam_user,
  :created_at,
  :last_updated_at,
  :name,
  :status,
  :output_uri,
  :log_uri,
  :message,
  :compute_time,
  :finished_at,
  :started_at,
  :total_record_count,
  :invalid_record_count)
  SENSITIVE = []
  include Aws::Structure
end

#ml_model_id ⇒ String

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

# File 'lib/aws-sdk-machinelearning/types.rb', line 1804

class GetBatchPredictionOutput < Struct.new(
  :batch_prediction_id,
  :ml_model_id,
  :batch_prediction_data_source_id,
  :input_data_location_s3,
  :created_by_iam_user,
  :created_at,
  :last_updated_at,
  :name,
  :status,
  :output_uri,
  :log_uri,
  :message,
  :compute_time,
  :finished_at,
  :started_at,
  :total_record_count,
  :invalid_record_count)
  SENSITIVE = []
  include Aws::Structure
end

#name ⇒ String

A user-supplied name or description of the ‘BatchPrediction`.

# File 'lib/aws-sdk-machinelearning/types.rb', line 1804

class GetBatchPredictionOutput < Struct.new(
  :batch_prediction_id,
  :ml_model_id,
  :batch_prediction_data_source_id,
  :input_data_location_s3,
  :created_by_iam_user,
  :created_at,
  :last_updated_at,
  :name,
  :status,
  :output_uri,
  :log_uri,
  :message,
  :compute_time,
  :finished_at,
  :started_at,
  :total_record_count,
  :invalid_record_count)
  SENSITIVE = []
  include Aws::Structure
end

#output_uri ⇒ String

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

# File 'lib/aws-sdk-machinelearning/types.rb', line 1804

class GetBatchPredictionOutput < Struct.new(
  :batch_prediction_id,
  :ml_model_id,
  :batch_prediction_data_source_id,
  :input_data_location_s3,
  :created_by_iam_user,
  :created_at,
  :last_updated_at,
  :name,
  :status,
  :output_uri,
  :log_uri,
  :message,
  :compute_time,
  :finished_at,
  :started_at,
  :total_record_count,
  :invalid_record_count)
  SENSITIVE = []
  include Aws::Structure
end

#started_at ⇒ Time

The epoch time when Amazon Machine Learning marked the ‘BatchPrediction` as `INPROGRESS`. `StartedAt` isn’t available if the ‘BatchPrediction` is in the `PENDING` state.

# File 'lib/aws-sdk-machinelearning/types.rb', line 1804

class GetBatchPredictionOutput < Struct.new(
  :batch_prediction_id,
  :ml_model_id,
  :batch_prediction_data_source_id,
  :input_data_location_s3,
  :created_by_iam_user,
  :created_at,
  :last_updated_at,
  :name,
  :status,
  :output_uri,
  :log_uri,
  :message,
  :compute_time,
  :finished_at,
  :started_at,
  :total_record_count,
  :invalid_record_count)
  SENSITIVE = []
  include Aws::Structure
end

#status ⇒ String

The status of the ‘BatchPrediction`, which can be one of the following values:

• ‘PENDING` - Amazon Machine Learning (Amazon ML) submitted a request to generate batch predictions.

• ‘INPROGRESS` - The batch predictions are in progress.

• ‘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.

# File 'lib/aws-sdk-machinelearning/types.rb', line 1804

class GetBatchPredictionOutput < Struct.new(
  :batch_prediction_id,
  :ml_model_id,
  :batch_prediction_data_source_id,
  :input_data_location_s3,
  :created_by_iam_user,
  :created_at,
  :last_updated_at,
  :name,
  :status,
  :output_uri,
  :log_uri,
  :message,
  :compute_time,
  :finished_at,
  :started_at,
  :total_record_count,
  :invalid_record_count)
  SENSITIVE = []
  include Aws::Structure
end

#total_record_count ⇒ Integer

The number of total records that Amazon Machine Learning saw while processing the ‘BatchPrediction`.

# File 'lib/aws-sdk-machinelearning/types.rb', line 1804

class GetBatchPredictionOutput < Struct.new(
  :batch_prediction_id,
  :ml_model_id,
  :batch_prediction_data_source_id,
  :input_data_location_s3,
  :created_by_iam_user,
  :created_at,
  :last_updated_at,
  :name,
  :status,
  :output_uri,
  :log_uri,
  :message,
  :compute_time,
  :finished_at,
  :started_at,
  :total_record_count,
  :invalid_record_count)
  SENSITIVE = []
  include Aws::Structure
end