Class: Aws::SageMaker::Types::BatchTransformInput
- Inherits:
-
Struct
- Object
- Struct
- Aws::SageMaker::Types::BatchTransformInput
- Includes:
- Aws::Structure
- Defined in:
- lib/aws-sdk-sagemaker/types.rb
Overview
Input object for the batch transform job.
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#data_captured_destination_s3_uri ⇒ String
The Amazon S3 location being used to capture the data.
-
#dataset_format ⇒ Types::MonitoringDatasetFormat
The dataset format for your batch transform job.
-
#end_time_offset ⇒ String
If specified, monitoring jobs subtract this time from the end time.
-
#features_attribute ⇒ String
The attributes of the input data that are the input features.
-
#inference_attribute ⇒ String
The attribute of the input data that represents the ground truth label.
-
#local_path ⇒ String
Path to the filesystem where the batch transform data is available to the container.
-
#probability_attribute ⇒ String
In a classification problem, the attribute that represents the class probability.
-
#probability_threshold_attribute ⇒ Float
The threshold for the class probability to be evaluated as a positive result.
-
#s3_data_distribution_type ⇒ String
Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key.
-
#s3_input_mode ⇒ String
Whether the ‘Pipe` or `File` is used as the input mode for transferring data for the monitoring job.
-
#start_time_offset ⇒ String
If specified, monitoring jobs substract this time from the start time.
Instance Attribute Details
#data_captured_destination_s3_uri ⇒ String
The Amazon S3 location being used to capture the data.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 2866 class BatchTransformInput < Struct.new( :data_captured_destination_s3_uri, :dataset_format, :local_path, :s3_input_mode, :s3_data_distribution_type, :features_attribute, :inference_attribute, :probability_attribute, :probability_threshold_attribute, :start_time_offset, :end_time_offset) SENSITIVE = [] include Aws::Structure end |
#dataset_format ⇒ Types::MonitoringDatasetFormat
The dataset format for your batch transform job.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 2866 class BatchTransformInput < Struct.new( :data_captured_destination_s3_uri, :dataset_format, :local_path, :s3_input_mode, :s3_data_distribution_type, :features_attribute, :inference_attribute, :probability_attribute, :probability_threshold_attribute, :start_time_offset, :end_time_offset) SENSITIVE = [] include Aws::Structure end |
#end_time_offset ⇒ String
If specified, monitoring jobs subtract this time from the end time. For information about using offsets for scheduling monitoring jobs, see [Schedule Model Quality Monitoring Jobs].
[1]: docs.aws.amazon.com/sagemaker/latest/dg/model-monitor-model-quality-schedule.html
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# File 'lib/aws-sdk-sagemaker/types.rb', line 2866 class BatchTransformInput < Struct.new( :data_captured_destination_s3_uri, :dataset_format, :local_path, :s3_input_mode, :s3_data_distribution_type, :features_attribute, :inference_attribute, :probability_attribute, :probability_threshold_attribute, :start_time_offset, :end_time_offset) SENSITIVE = [] include Aws::Structure end |
#features_attribute ⇒ String
The attributes of the input data that are the input features.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 2866 class BatchTransformInput < Struct.new( :data_captured_destination_s3_uri, :dataset_format, :local_path, :s3_input_mode, :s3_data_distribution_type, :features_attribute, :inference_attribute, :probability_attribute, :probability_threshold_attribute, :start_time_offset, :end_time_offset) SENSITIVE = [] include Aws::Structure end |
#inference_attribute ⇒ String
The attribute of the input data that represents the ground truth label.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 2866 class BatchTransformInput < Struct.new( :data_captured_destination_s3_uri, :dataset_format, :local_path, :s3_input_mode, :s3_data_distribution_type, :features_attribute, :inference_attribute, :probability_attribute, :probability_threshold_attribute, :start_time_offset, :end_time_offset) SENSITIVE = [] include Aws::Structure end |
#local_path ⇒ String
Path to the filesystem where the batch transform data is available to the container.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 2866 class BatchTransformInput < Struct.new( :data_captured_destination_s3_uri, :dataset_format, :local_path, :s3_input_mode, :s3_data_distribution_type, :features_attribute, :inference_attribute, :probability_attribute, :probability_threshold_attribute, :start_time_offset, :end_time_offset) SENSITIVE = [] include Aws::Structure end |
#probability_attribute ⇒ String
In a classification problem, the attribute that represents the class probability.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 2866 class BatchTransformInput < Struct.new( :data_captured_destination_s3_uri, :dataset_format, :local_path, :s3_input_mode, :s3_data_distribution_type, :features_attribute, :inference_attribute, :probability_attribute, :probability_threshold_attribute, :start_time_offset, :end_time_offset) SENSITIVE = [] include Aws::Structure end |
#probability_threshold_attribute ⇒ Float
The threshold for the class probability to be evaluated as a positive result.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 2866 class BatchTransformInput < Struct.new( :data_captured_destination_s3_uri, :dataset_format, :local_path, :s3_input_mode, :s3_data_distribution_type, :features_attribute, :inference_attribute, :probability_attribute, :probability_threshold_attribute, :start_time_offset, :end_time_offset) SENSITIVE = [] include Aws::Structure end |
#s3_data_distribution_type ⇒ String
Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defaults to ‘FullyReplicated`
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# File 'lib/aws-sdk-sagemaker/types.rb', line 2866 class BatchTransformInput < Struct.new( :data_captured_destination_s3_uri, :dataset_format, :local_path, :s3_input_mode, :s3_data_distribution_type, :features_attribute, :inference_attribute, :probability_attribute, :probability_threshold_attribute, :start_time_offset, :end_time_offset) SENSITIVE = [] include Aws::Structure end |
#s3_input_mode ⇒ String
Whether the ‘Pipe` or `File` is used as the input mode for transferring data for the monitoring job. `Pipe` mode is recommended for large datasets. `File` mode is useful for small files that fit in memory. Defaults to `File`.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 2866 class BatchTransformInput < Struct.new( :data_captured_destination_s3_uri, :dataset_format, :local_path, :s3_input_mode, :s3_data_distribution_type, :features_attribute, :inference_attribute, :probability_attribute, :probability_threshold_attribute, :start_time_offset, :end_time_offset) SENSITIVE = [] include Aws::Structure end |
#start_time_offset ⇒ String
If specified, monitoring jobs substract this time from the start time. For information about using offsets for scheduling monitoring jobs, see [Schedule Model Quality Monitoring Jobs].
[1]: docs.aws.amazon.com/sagemaker/latest/dg/model-monitor-model-quality-schedule.html
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# File 'lib/aws-sdk-sagemaker/types.rb', line 2866 class BatchTransformInput < Struct.new( :data_captured_destination_s3_uri, :dataset_format, :local_path, :s3_input_mode, :s3_data_distribution_type, :features_attribute, :inference_attribute, :probability_attribute, :probability_threshold_attribute, :start_time_offset, :end_time_offset) SENSITIVE = [] include Aws::Structure end |