Class: Aws::SageMaker::Types::EndpointInput

Inherits:
Struct
  • Object
show all
Includes:
Aws::Structure
Defined in:
lib/aws-sdk-sagemaker/types.rb

Overview

Input object for the endpoint

Constant Summary collapse

SENSITIVE =
[]

Instance Attribute Summary collapse

Instance Attribute Details

#end_time_offsetString

If specified, monitoring jobs substract 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)


19874
19875
19876
19877
19878
19879
19880
19881
19882
19883
19884
19885
19886
19887
19888
# File 'lib/aws-sdk-sagemaker/types.rb', line 19874

class EndpointInput < Struct.new(
  :endpoint_name,
  :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

#endpoint_nameString

An endpoint in customer’s account which has enabled ‘DataCaptureConfig` enabled.

Returns:

  • (String)


19874
19875
19876
19877
19878
19879
19880
19881
19882
19883
19884
19885
19886
19887
19888
# File 'lib/aws-sdk-sagemaker/types.rb', line 19874

class EndpointInput < Struct.new(
  :endpoint_name,
  :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_attributeString

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

Returns:

  • (String)


19874
19875
19876
19877
19878
19879
19880
19881
19882
19883
19884
19885
19886
19887
19888
# File 'lib/aws-sdk-sagemaker/types.rb', line 19874

class EndpointInput < Struct.new(
  :endpoint_name,
  :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_attributeString

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

Returns:

  • (String)


19874
19875
19876
19877
19878
19879
19880
19881
19882
19883
19884
19885
19886
19887
19888
# File 'lib/aws-sdk-sagemaker/types.rb', line 19874

class EndpointInput < Struct.new(
  :endpoint_name,
  :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_attributeString

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

Returns:

  • (String)


19874
19875
19876
19877
19878
19879
19880
19881
19882
19883
19884
19885
19886
19887
19888
# File 'lib/aws-sdk-sagemaker/types.rb', line 19874

class EndpointInput < Struct.new(
  :endpoint_name,
  :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_pathString

Path to the filesystem where the endpoint data is available to the container.

Returns:

  • (String)


19874
19875
19876
19877
19878
19879
19880
19881
19882
19883
19884
19885
19886
19887
19888
# File 'lib/aws-sdk-sagemaker/types.rb', line 19874

class EndpointInput < Struct.new(
  :endpoint_name,
  :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_attributeString

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

Returns:

  • (String)


19874
19875
19876
19877
19878
19879
19880
19881
19882
19883
19884
19885
19886
19887
19888
# File 'lib/aws-sdk-sagemaker/types.rb', line 19874

class EndpointInput < Struct.new(
  :endpoint_name,
  :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_attributeFloat

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

Returns:

  • (Float)


19874
19875
19876
19877
19878
19879
19880
19881
19882
19883
19884
19885
19886
19887
19888
# File 'lib/aws-sdk-sagemaker/types.rb', line 19874

class EndpointInput < Struct.new(
  :endpoint_name,
  :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_typeString

Whether input data distributed in Amazon S3 is fully replicated or sharded by an Amazon S3 key. Defaults to ‘FullyReplicated`

Returns:

  • (String)


19874
19875
19876
19877
19878
19879
19880
19881
19882
19883
19884
19885
19886
19887
19888
# File 'lib/aws-sdk-sagemaker/types.rb', line 19874

class EndpointInput < Struct.new(
  :endpoint_name,
  :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_modeString

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)


19874
19875
19876
19877
19878
19879
19880
19881
19882
19883
19884
19885
19886
19887
19888
# File 'lib/aws-sdk-sagemaker/types.rb', line 19874

class EndpointInput < Struct.new(
  :endpoint_name,
  :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_offsetString

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)


19874
19875
19876
19877
19878
19879
19880
19881
19882
19883
19884
19885
19886
19887
19888
# File 'lib/aws-sdk-sagemaker/types.rb', line 19874

class EndpointInput < Struct.new(
  :endpoint_name,
  :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