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

Inherits:

Struct

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

show all

Includes:: Structure

Defined in:: lib/aws-sdk-machinelearning/types.rb

Overview

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

Constant Summary collapse

SENSITIVE =

[]

Instance Attribute Summary collapse

#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`.

Returns:

(String)

# 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.

Returns:

(String)

# 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.

Returns:

(Integer)

# 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.

Returns:

(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.

Returns:

(String)

# 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.

Returns:

(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

#input_data_location_s3 ⇒ `String`

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

Returns:

(String)

# 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`.

Returns:

(Integer)

# 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.

Returns:

(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.

Returns:

(String)

# 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.

Returns:

(String)

# 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.

Returns:

(String)

# 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`.

Returns:

(String)

# 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.

Returns:

(String)

# 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.

Returns:

(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

#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.

Returns:

(String)

# 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`.

Returns:

(Integer)

# 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

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

Overview

Constant Summary collapse

Instance Attribute Summary collapse

Instance Attribute Details

#batch_prediction_data_source_id ⇒ String

#batch_prediction_id ⇒ String

#compute_time ⇒ Integer

#created_at ⇒ Time

#created_by_iam_user ⇒ String

#finished_at ⇒ Time

#input_data_location_s3 ⇒ String

#invalid_record_count ⇒ Integer

#last_updated_at ⇒ Time

#log_uri ⇒ String

#message ⇒ String

#ml_model_id ⇒ String

#name ⇒ String

#output_uri ⇒ String

#started_at ⇒ Time

#status ⇒ String

#total_record_count ⇒ Integer

#batch_prediction_data_source_id ⇒ `String`

#batch_prediction_id ⇒ `String`

#compute_time ⇒ `Integer`

#created_at ⇒ `Time`

#created_by_iam_user ⇒ `String`

#finished_at ⇒ `Time`

#input_data_location_s3 ⇒ `String`

#invalid_record_count ⇒ `Integer`

#last_updated_at ⇒ `Time`

#log_uri ⇒ `String`

#message ⇒ `String`

#ml_model_id ⇒ `String`

#name ⇒ `String`

#output_uri ⇒ `String`

#started_at ⇒ `Time`

#status ⇒ `String`

#total_record_count ⇒ `Integer`