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

Inherits:

Struct

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

show all

Defined in:: gems/aws-sdk-machinelearning/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 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1806

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 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1806

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 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1806

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 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1806

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 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1806

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 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1806

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 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1806

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 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1806

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 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1806

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 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1806

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 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1806

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 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1806

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 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1806

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 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1806

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 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1806

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 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1806

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 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1806

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`