Class: Aws::SageMaker::Types::DescribeTransformJobResponse
- Inherits:
-
Struct
- Object
- Struct
- Aws::SageMaker::Types::DescribeTransformJobResponse
- Defined in:
- gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb
Overview
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#auto_ml_job_arn ⇒ String
The Amazon Resource Name (ARN) of the AutoML transform job.
-
#batch_strategy ⇒ String
Specifies the number of records to include in a mini-batch for an HTTP inference request.
-
#creation_time ⇒ Time
A timestamp that shows when the transform Job was created.
-
#data_capture_config ⇒ Types::BatchDataCaptureConfig
Configuration to control how SageMaker captures inference data.
-
#data_processing ⇒ Types::DataProcessing
The data structure used to specify the data to be used for inference in a batch transform job and to associate the data that is relevant to the prediction results in the output.
-
#environment ⇒ Hash<String,String>
The environment variables to set in the Docker container.
-
#experiment_config ⇒ Types::ExperimentConfig
Associates a SageMaker job as a trial component with an experiment and trial.
-
#failure_reason ⇒ String
If the transform job failed,
FailureReason
describes why it failed. -
#labeling_job_arn ⇒ String
The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling job that created the transform or training job.
-
#max_concurrent_transforms ⇒ Integer
The maximum number of parallel requests on each instance node that can be launched in a transform job.
-
#max_payload_in_mb ⇒ Integer
The maximum payload size, in MB, used in the transform job.
-
#model_client_config ⇒ Types::ModelClientConfig
The timeout and maximum number of retries for processing a transform job invocation.
-
#model_name ⇒ String
The name of the model used in the transform job.
-
#transform_end_time ⇒ Time
Indicates when the transform job has been completed, or has stopped or failed.
-
#transform_input ⇒ Types::TransformInput
Describes the dataset to be transformed and the Amazon S3 location where it is stored.
-
#transform_job_arn ⇒ String
The Amazon Resource Name (ARN) of the transform job.
-
#transform_job_name ⇒ String
The name of the transform job.
-
#transform_job_status ⇒ String
The status of the transform job.
-
#transform_output ⇒ Types::TransformOutput
Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.
-
#transform_resources ⇒ Types::TransformResources
Describes the resources, including ML instance types and ML instance count, to use for the transform job.
-
#transform_start_time ⇒ Time
Indicates when the transform job starts on ML instances.
Instance Attribute Details
#auto_ml_job_arn ⇒ String
The Amazon Resource Name (ARN) of the AutoML transform job.
16962 16963 16964 16965 16966 16967 16968 16969 16970 16971 16972 16973 16974 16975 16976 16977 16978 16979 16980 16981 16982 16983 16984 16985 16986 |
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 16962 class DescribeTransformJobResponse < Struct.new( :transform_job_name, :transform_job_arn, :transform_job_status, :failure_reason, :model_name, :max_concurrent_transforms, :model_client_config, :max_payload_in_mb, :batch_strategy, :environment, :transform_input, :transform_output, :data_capture_config, :transform_resources, :creation_time, :transform_start_time, :transform_end_time, :labeling_job_arn, :auto_ml_job_arn, :data_processing, :experiment_config) SENSITIVE = [] include Aws::Structure end |
#batch_strategy ⇒ String
Specifies the number of records to include in a mini-batch for an HTTP inference request. A record ** is a single unit of input data that inference can be made on. For example, a single line in a CSV file is a record.
To enable the batch strategy, you must set SplitType
to Line
,
RecordIO
, or TFRecord
.
16962 16963 16964 16965 16966 16967 16968 16969 16970 16971 16972 16973 16974 16975 16976 16977 16978 16979 16980 16981 16982 16983 16984 16985 16986 |
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 16962 class DescribeTransformJobResponse < Struct.new( :transform_job_name, :transform_job_arn, :transform_job_status, :failure_reason, :model_name, :max_concurrent_transforms, :model_client_config, :max_payload_in_mb, :batch_strategy, :environment, :transform_input, :transform_output, :data_capture_config, :transform_resources, :creation_time, :transform_start_time, :transform_end_time, :labeling_job_arn, :auto_ml_job_arn, :data_processing, :experiment_config) SENSITIVE = [] include Aws::Structure end |
#creation_time ⇒ Time
A timestamp that shows when the transform Job was created.
16962 16963 16964 16965 16966 16967 16968 16969 16970 16971 16972 16973 16974 16975 16976 16977 16978 16979 16980 16981 16982 16983 16984 16985 16986 |
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 16962 class DescribeTransformJobResponse < Struct.new( :transform_job_name, :transform_job_arn, :transform_job_status, :failure_reason, :model_name, :max_concurrent_transforms, :model_client_config, :max_payload_in_mb, :batch_strategy, :environment, :transform_input, :transform_output, :data_capture_config, :transform_resources, :creation_time, :transform_start_time, :transform_end_time, :labeling_job_arn, :auto_ml_job_arn, :data_processing, :experiment_config) SENSITIVE = [] include Aws::Structure end |
#data_capture_config ⇒ Types::BatchDataCaptureConfig
Configuration to control how SageMaker captures inference data.
16962 16963 16964 16965 16966 16967 16968 16969 16970 16971 16972 16973 16974 16975 16976 16977 16978 16979 16980 16981 16982 16983 16984 16985 16986 |
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 16962 class DescribeTransformJobResponse < Struct.new( :transform_job_name, :transform_job_arn, :transform_job_status, :failure_reason, :model_name, :max_concurrent_transforms, :model_client_config, :max_payload_in_mb, :batch_strategy, :environment, :transform_input, :transform_output, :data_capture_config, :transform_resources, :creation_time, :transform_start_time, :transform_end_time, :labeling_job_arn, :auto_ml_job_arn, :data_processing, :experiment_config) SENSITIVE = [] include Aws::Structure end |
#data_processing ⇒ Types::DataProcessing
The data structure used to specify the data to be used for inference in a batch transform job and to associate the data that is relevant to the prediction results in the output. The input filter provided allows you to exclude input data that is not needed for inference in a batch transform job. The output filter provided allows you to include input data relevant to interpreting the predictions in the output from the job. For more information, see Associate Prediction Results with their Corresponding Input Records.
16962 16963 16964 16965 16966 16967 16968 16969 16970 16971 16972 16973 16974 16975 16976 16977 16978 16979 16980 16981 16982 16983 16984 16985 16986 |
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 16962 class DescribeTransformJobResponse < Struct.new( :transform_job_name, :transform_job_arn, :transform_job_status, :failure_reason, :model_name, :max_concurrent_transforms, :model_client_config, :max_payload_in_mb, :batch_strategy, :environment, :transform_input, :transform_output, :data_capture_config, :transform_resources, :creation_time, :transform_start_time, :transform_end_time, :labeling_job_arn, :auto_ml_job_arn, :data_processing, :experiment_config) SENSITIVE = [] include Aws::Structure end |
#environment ⇒ Hash<String,String>
The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.
16962 16963 16964 16965 16966 16967 16968 16969 16970 16971 16972 16973 16974 16975 16976 16977 16978 16979 16980 16981 16982 16983 16984 16985 16986 |
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 16962 class DescribeTransformJobResponse < Struct.new( :transform_job_name, :transform_job_arn, :transform_job_status, :failure_reason, :model_name, :max_concurrent_transforms, :model_client_config, :max_payload_in_mb, :batch_strategy, :environment, :transform_input, :transform_output, :data_capture_config, :transform_resources, :creation_time, :transform_start_time, :transform_end_time, :labeling_job_arn, :auto_ml_job_arn, :data_processing, :experiment_config) SENSITIVE = [] include Aws::Structure end |
#experiment_config ⇒ Types::ExperimentConfig
Associates a SageMaker job as a trial component with an experiment and trial. Specified when you call the following APIs:
16962 16963 16964 16965 16966 16967 16968 16969 16970 16971 16972 16973 16974 16975 16976 16977 16978 16979 16980 16981 16982 16983 16984 16985 16986 |
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 16962 class DescribeTransformJobResponse < Struct.new( :transform_job_name, :transform_job_arn, :transform_job_status, :failure_reason, :model_name, :max_concurrent_transforms, :model_client_config, :max_payload_in_mb, :batch_strategy, :environment, :transform_input, :transform_output, :data_capture_config, :transform_resources, :creation_time, :transform_start_time, :transform_end_time, :labeling_job_arn, :auto_ml_job_arn, :data_processing, :experiment_config) SENSITIVE = [] include Aws::Structure end |
#failure_reason ⇒ String
If the transform job failed, FailureReason
describes why it
failed. A transform job creates a log file, which includes error
messages, and stores it as an Amazon S3 object. For more
information, see Log Amazon SageMaker Events with Amazon
CloudWatch.
16962 16963 16964 16965 16966 16967 16968 16969 16970 16971 16972 16973 16974 16975 16976 16977 16978 16979 16980 16981 16982 16983 16984 16985 16986 |
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 16962 class DescribeTransformJobResponse < Struct.new( :transform_job_name, :transform_job_arn, :transform_job_status, :failure_reason, :model_name, :max_concurrent_transforms, :model_client_config, :max_payload_in_mb, :batch_strategy, :environment, :transform_input, :transform_output, :data_capture_config, :transform_resources, :creation_time, :transform_start_time, :transform_end_time, :labeling_job_arn, :auto_ml_job_arn, :data_processing, :experiment_config) SENSITIVE = [] include Aws::Structure end |
#labeling_job_arn ⇒ String
The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling job that created the transform or training job.
16962 16963 16964 16965 16966 16967 16968 16969 16970 16971 16972 16973 16974 16975 16976 16977 16978 16979 16980 16981 16982 16983 16984 16985 16986 |
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 16962 class DescribeTransformJobResponse < Struct.new( :transform_job_name, :transform_job_arn, :transform_job_status, :failure_reason, :model_name, :max_concurrent_transforms, :model_client_config, :max_payload_in_mb, :batch_strategy, :environment, :transform_input, :transform_output, :data_capture_config, :transform_resources, :creation_time, :transform_start_time, :transform_end_time, :labeling_job_arn, :auto_ml_job_arn, :data_processing, :experiment_config) SENSITIVE = [] include Aws::Structure end |
#max_concurrent_transforms ⇒ Integer
The maximum number of parallel requests on each instance node that can be launched in a transform job. The default value is 1.
16962 16963 16964 16965 16966 16967 16968 16969 16970 16971 16972 16973 16974 16975 16976 16977 16978 16979 16980 16981 16982 16983 16984 16985 16986 |
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 16962 class DescribeTransformJobResponse < Struct.new( :transform_job_name, :transform_job_arn, :transform_job_status, :failure_reason, :model_name, :max_concurrent_transforms, :model_client_config, :max_payload_in_mb, :batch_strategy, :environment, :transform_input, :transform_output, :data_capture_config, :transform_resources, :creation_time, :transform_start_time, :transform_end_time, :labeling_job_arn, :auto_ml_job_arn, :data_processing, :experiment_config) SENSITIVE = [] include Aws::Structure end |
#max_payload_in_mb ⇒ Integer
The maximum payload size, in MB, used in the transform job.
16962 16963 16964 16965 16966 16967 16968 16969 16970 16971 16972 16973 16974 16975 16976 16977 16978 16979 16980 16981 16982 16983 16984 16985 16986 |
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 16962 class DescribeTransformJobResponse < Struct.new( :transform_job_name, :transform_job_arn, :transform_job_status, :failure_reason, :model_name, :max_concurrent_transforms, :model_client_config, :max_payload_in_mb, :batch_strategy, :environment, :transform_input, :transform_output, :data_capture_config, :transform_resources, :creation_time, :transform_start_time, :transform_end_time, :labeling_job_arn, :auto_ml_job_arn, :data_processing, :experiment_config) SENSITIVE = [] include Aws::Structure end |
#model_client_config ⇒ Types::ModelClientConfig
The timeout and maximum number of retries for processing a transform job invocation.
16962 16963 16964 16965 16966 16967 16968 16969 16970 16971 16972 16973 16974 16975 16976 16977 16978 16979 16980 16981 16982 16983 16984 16985 16986 |
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 16962 class DescribeTransformJobResponse < Struct.new( :transform_job_name, :transform_job_arn, :transform_job_status, :failure_reason, :model_name, :max_concurrent_transforms, :model_client_config, :max_payload_in_mb, :batch_strategy, :environment, :transform_input, :transform_output, :data_capture_config, :transform_resources, :creation_time, :transform_start_time, :transform_end_time, :labeling_job_arn, :auto_ml_job_arn, :data_processing, :experiment_config) SENSITIVE = [] include Aws::Structure end |
#model_name ⇒ String
The name of the model used in the transform job.
16962 16963 16964 16965 16966 16967 16968 16969 16970 16971 16972 16973 16974 16975 16976 16977 16978 16979 16980 16981 16982 16983 16984 16985 16986 |
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 16962 class DescribeTransformJobResponse < Struct.new( :transform_job_name, :transform_job_arn, :transform_job_status, :failure_reason, :model_name, :max_concurrent_transforms, :model_client_config, :max_payload_in_mb, :batch_strategy, :environment, :transform_input, :transform_output, :data_capture_config, :transform_resources, :creation_time, :transform_start_time, :transform_end_time, :labeling_job_arn, :auto_ml_job_arn, :data_processing, :experiment_config) SENSITIVE = [] include Aws::Structure end |
#transform_end_time ⇒ Time
Indicates when the transform job has been completed, or has stopped
or failed. You are billed for the time interval between this time
and the value of TransformStartTime
.
16962 16963 16964 16965 16966 16967 16968 16969 16970 16971 16972 16973 16974 16975 16976 16977 16978 16979 16980 16981 16982 16983 16984 16985 16986 |
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 16962 class DescribeTransformJobResponse < Struct.new( :transform_job_name, :transform_job_arn, :transform_job_status, :failure_reason, :model_name, :max_concurrent_transforms, :model_client_config, :max_payload_in_mb, :batch_strategy, :environment, :transform_input, :transform_output, :data_capture_config, :transform_resources, :creation_time, :transform_start_time, :transform_end_time, :labeling_job_arn, :auto_ml_job_arn, :data_processing, :experiment_config) SENSITIVE = [] include Aws::Structure end |
#transform_input ⇒ Types::TransformInput
Describes the dataset to be transformed and the Amazon S3 location where it is stored.
16962 16963 16964 16965 16966 16967 16968 16969 16970 16971 16972 16973 16974 16975 16976 16977 16978 16979 16980 16981 16982 16983 16984 16985 16986 |
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 16962 class DescribeTransformJobResponse < Struct.new( :transform_job_name, :transform_job_arn, :transform_job_status, :failure_reason, :model_name, :max_concurrent_transforms, :model_client_config, :max_payload_in_mb, :batch_strategy, :environment, :transform_input, :transform_output, :data_capture_config, :transform_resources, :creation_time, :transform_start_time, :transform_end_time, :labeling_job_arn, :auto_ml_job_arn, :data_processing, :experiment_config) SENSITIVE = [] include Aws::Structure end |
#transform_job_arn ⇒ String
The Amazon Resource Name (ARN) of the transform job.
16962 16963 16964 16965 16966 16967 16968 16969 16970 16971 16972 16973 16974 16975 16976 16977 16978 16979 16980 16981 16982 16983 16984 16985 16986 |
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 16962 class DescribeTransformJobResponse < Struct.new( :transform_job_name, :transform_job_arn, :transform_job_status, :failure_reason, :model_name, :max_concurrent_transforms, :model_client_config, :max_payload_in_mb, :batch_strategy, :environment, :transform_input, :transform_output, :data_capture_config, :transform_resources, :creation_time, :transform_start_time, :transform_end_time, :labeling_job_arn, :auto_ml_job_arn, :data_processing, :experiment_config) SENSITIVE = [] include Aws::Structure end |
#transform_job_name ⇒ String
The name of the transform job.
16962 16963 16964 16965 16966 16967 16968 16969 16970 16971 16972 16973 16974 16975 16976 16977 16978 16979 16980 16981 16982 16983 16984 16985 16986 |
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 16962 class DescribeTransformJobResponse < Struct.new( :transform_job_name, :transform_job_arn, :transform_job_status, :failure_reason, :model_name, :max_concurrent_transforms, :model_client_config, :max_payload_in_mb, :batch_strategy, :environment, :transform_input, :transform_output, :data_capture_config, :transform_resources, :creation_time, :transform_start_time, :transform_end_time, :labeling_job_arn, :auto_ml_job_arn, :data_processing, :experiment_config) SENSITIVE = [] include Aws::Structure end |
#transform_job_status ⇒ String
The status of the transform job. If the transform job failed, the
reason is returned in the FailureReason
field.
16962 16963 16964 16965 16966 16967 16968 16969 16970 16971 16972 16973 16974 16975 16976 16977 16978 16979 16980 16981 16982 16983 16984 16985 16986 |
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 16962 class DescribeTransformJobResponse < Struct.new( :transform_job_name, :transform_job_arn, :transform_job_status, :failure_reason, :model_name, :max_concurrent_transforms, :model_client_config, :max_payload_in_mb, :batch_strategy, :environment, :transform_input, :transform_output, :data_capture_config, :transform_resources, :creation_time, :transform_start_time, :transform_end_time, :labeling_job_arn, :auto_ml_job_arn, :data_processing, :experiment_config) SENSITIVE = [] include Aws::Structure end |
#transform_output ⇒ Types::TransformOutput
Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.
16962 16963 16964 16965 16966 16967 16968 16969 16970 16971 16972 16973 16974 16975 16976 16977 16978 16979 16980 16981 16982 16983 16984 16985 16986 |
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 16962 class DescribeTransformJobResponse < Struct.new( :transform_job_name, :transform_job_arn, :transform_job_status, :failure_reason, :model_name, :max_concurrent_transforms, :model_client_config, :max_payload_in_mb, :batch_strategy, :environment, :transform_input, :transform_output, :data_capture_config, :transform_resources, :creation_time, :transform_start_time, :transform_end_time, :labeling_job_arn, :auto_ml_job_arn, :data_processing, :experiment_config) SENSITIVE = [] include Aws::Structure end |
#transform_resources ⇒ Types::TransformResources
Describes the resources, including ML instance types and ML instance count, to use for the transform job.
16962 16963 16964 16965 16966 16967 16968 16969 16970 16971 16972 16973 16974 16975 16976 16977 16978 16979 16980 16981 16982 16983 16984 16985 16986 |
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 16962 class DescribeTransformJobResponse < Struct.new( :transform_job_name, :transform_job_arn, :transform_job_status, :failure_reason, :model_name, :max_concurrent_transforms, :model_client_config, :max_payload_in_mb, :batch_strategy, :environment, :transform_input, :transform_output, :data_capture_config, :transform_resources, :creation_time, :transform_start_time, :transform_end_time, :labeling_job_arn, :auto_ml_job_arn, :data_processing, :experiment_config) SENSITIVE = [] include Aws::Structure end |
#transform_start_time ⇒ Time
Indicates when the transform job starts on ML instances. You are
billed for the time interval between this time and the value of
TransformEndTime
.
16962 16963 16964 16965 16966 16967 16968 16969 16970 16971 16972 16973 16974 16975 16976 16977 16978 16979 16980 16981 16982 16983 16984 16985 16986 |
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 16962 class DescribeTransformJobResponse < Struct.new( :transform_job_name, :transform_job_arn, :transform_job_status, :failure_reason, :model_name, :max_concurrent_transforms, :model_client_config, :max_payload_in_mb, :batch_strategy, :environment, :transform_input, :transform_output, :data_capture_config, :transform_resources, :creation_time, :transform_start_time, :transform_end_time, :labeling_job_arn, :auto_ml_job_arn, :data_processing, :experiment_config) SENSITIVE = [] include Aws::Structure end |