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`.
Instance Attribute Summary collapse
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#batch_prediction_data_source_id ⇒ String
The ID of the ‘DataSource` that was used to create the `BatchPrediction`.
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#batch_prediction_id ⇒ String
An ID assigned to the ‘BatchPrediction` at creation.
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#compute_time ⇒ Integer
The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the ‘BatchPrediction`, normalized and scaled on computation resources.
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#created_at ⇒ Time
The time when the ‘BatchPrediction` was created.
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#created_by_iam_user ⇒ String
The AWS user account that invoked the ‘BatchPrediction`.
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#finished_at ⇒ Time
The epoch time when Amazon Machine Learning marked the ‘BatchPrediction` as `COMPLETED` or `FAILED`.
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#input_data_location_s3 ⇒ String
The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).
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#invalid_record_count ⇒ Integer
The number of invalid records that Amazon Machine Learning saw while processing the ‘BatchPrediction`.
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#last_updated_at ⇒ Time
The time of the most recent edit to ‘BatchPrediction`.
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#log_uri ⇒ String
A link to the file that contains logs of the ‘CreateBatchPrediction` operation.
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#message ⇒ String
A description of the most recent details about processing the batch prediction request.
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#ml_model_id ⇒ String
The ID of the ‘MLModel` that generated predictions for the `BatchPrediction` request.
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#name ⇒ String
A user-supplied name or description of the ‘BatchPrediction`.
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#output_uri ⇒ String
The location of an Amazon S3 bucket or directory to receive the operation results.
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#started_at ⇒ Time
The epoch time when Amazon Machine Learning marked the ‘BatchPrediction` as `INPROGRESS`.
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#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`.
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# File 'lib/aws-sdk-machinelearning/types.rb', line 1968 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) 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.
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# File 'lib/aws-sdk-machinelearning/types.rb', line 1968 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) 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.
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# File 'lib/aws-sdk-machinelearning/types.rb', line 1968 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) include Aws::Structure end |
#created_at ⇒ Time
The time when the ‘BatchPrediction` was created. The time is expressed in epoch time.
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# File 'lib/aws-sdk-machinelearning/types.rb', line 1968 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) 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.
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# File 'lib/aws-sdk-machinelearning/types.rb', line 1968 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) 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.
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# File 'lib/aws-sdk-machinelearning/types.rb', line 1968 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) include Aws::Structure end |
#input_data_location_s3 ⇒ String
The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).
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# File 'lib/aws-sdk-machinelearning/types.rb', line 1968 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) include Aws::Structure end |
#invalid_record_count ⇒ Integer
The number of invalid records that Amazon Machine Learning saw while processing the ‘BatchPrediction`.
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# File 'lib/aws-sdk-machinelearning/types.rb', line 1968 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) include Aws::Structure end |
#last_updated_at ⇒ Time
The time of the most recent edit to ‘BatchPrediction`. The time is expressed in epoch time.
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# File 'lib/aws-sdk-machinelearning/types.rb', line 1968 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) include Aws::Structure end |
#log_uri ⇒ String
A link to the file that contains logs of the ‘CreateBatchPrediction` operation.
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# File 'lib/aws-sdk-machinelearning/types.rb', line 1968 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) include Aws::Structure end |
#message ⇒ String
A description of the most recent details about processing the batch prediction request.
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# File 'lib/aws-sdk-machinelearning/types.rb', line 1968 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) include Aws::Structure end |
#ml_model_id ⇒ String
The ID of the ‘MLModel` that generated predictions for the `BatchPrediction` request.
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# File 'lib/aws-sdk-machinelearning/types.rb', line 1968 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) include Aws::Structure end |
#name ⇒ String
A user-supplied name or description of the ‘BatchPrediction`.
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# File 'lib/aws-sdk-machinelearning/types.rb', line 1968 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) include Aws::Structure end |
#output_uri ⇒ String
The location of an Amazon S3 bucket or directory to receive the operation results.
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# File 'lib/aws-sdk-machinelearning/types.rb', line 1968 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) 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.
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# File 'lib/aws-sdk-machinelearning/types.rb', line 1968 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) include Aws::Structure end |
#status ⇒ String
The status of the ‘BatchPrediction`, which can be one of the following values:
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‘PENDING` - Amazon Machine Learning (Amazon ML) submitted a request to generate batch predictions.
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‘INPROGRESS` - The batch predictions are in progress.
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‘FAILED` - The request to perform a batch prediction did not run to completion. It is not usable.
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‘COMPLETED` - The batch prediction process completed successfully.
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‘DELETED` - The `BatchPrediction` is marked as deleted. It is not usable.
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# File 'lib/aws-sdk-machinelearning/types.rb', line 1968 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) include Aws::Structure end |
#total_record_count ⇒ Integer
The number of total records that Amazon Machine Learning saw while processing the ‘BatchPrediction`.
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# File 'lib/aws-sdk-machinelearning/types.rb', line 1968 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) include Aws::Structure end |