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.

See Also:

• AWS API Documentation

Constant Summary

SENSITIVE =

[]

Instance Attribute Summary

• #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.

• #exclude_features_attribute ⇒ String

  The attributes of the input data to exclude from the analysis.

• #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.

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 2985

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,
  :exclude_features_attribute)
  SENSITIVE = []
  include Aws::Structure
end

#dataset_format ⇒ Types::MonitoringDatasetFormat

The dataset format for your batch transform job.

Returns:

• (Types::MonitoringDatasetFormat)

# File 'lib/aws-sdk-sagemaker/types.rb', line 2985

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,
  :exclude_features_attribute)
  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

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 2985

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,
  :exclude_features_attribute)
  SENSITIVE = []
  include Aws::Structure
end

#exclude_features_attribute ⇒ String

The attributes of the input data to exclude from the analysis.

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 2985

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,
  :exclude_features_attribute)
  SENSITIVE = []
  include Aws::Structure
end

#features_attribute ⇒ String

The attributes of the input data that are the input features.

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 2985

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,
  :exclude_features_attribute)
  SENSITIVE = []
  include Aws::Structure
end

#inference_attribute ⇒ String

The attribute of the input data that represents the ground truth label.

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 2985

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,
  :exclude_features_attribute)
  SENSITIVE = []
  include Aws::Structure
end

#local_path ⇒ String

Path to the filesystem where the batch transform data is available to the container.

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 2985

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,
  :exclude_features_attribute)
  SENSITIVE = []
  include Aws::Structure
end

#probability_attribute ⇒ String

In a classification problem, the attribute that represents the class probability.

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 2985

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,
  :exclude_features_attribute)
  SENSITIVE = []
  include Aws::Structure
end

#probability_threshold_attribute ⇒ Float

The threshold for the class probability to be evaluated as a positive result.

Returns:

• (Float)

# File 'lib/aws-sdk-sagemaker/types.rb', line 2985

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,
  :exclude_features_attribute)
  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

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 2985

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,
  :exclude_features_attribute)
  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.

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 2985

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,
  :exclude_features_attribute)
  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

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 2985

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,
  :exclude_features_attribute)
  SENSITIVE = []
  include Aws::Structure
end