Class: AWSCDK::CleanRooms::CfnAnalysisTemplate::MLSyntheticDataParametersProperty

Inherits:
Jsii::Struct
  • Object
show all
Defined in:
clean_rooms/cfn_analysis_template.rb

Overview

Parameters that control the generation of synthetic data for machine learning, including privacy settings and column classification details.

See Also:

Instance Attribute Summary collapse

Class Method Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(column_classification:, epsilon:, max_membership_inference_attack_score:) ⇒ MLSyntheticDataParametersProperty

Returns a new instance of MLSyntheticDataParametersProperty.

Parameters:



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# File 'clean_rooms/cfn_analysis_template.rb', line 1110

def initialize(column_classification:, epsilon:, max_membership_inference_attack_score:)
  @column_classification = column_classification.is_a?(Hash) ? ::AWSCDK::CleanRooms::CfnAnalysisTemplate::ColumnClassificationDetailsProperty.new(**column_classification.transform_keys(&:to_sym)) : column_classification
  Jsii::Type.check_type(@column_classification, JSON.parse(Base64.strict_decode64("eyJ1bmlvbiI6eyJ0eXBlcyI6W3siZnFuIjoiYXdzLWNkay1saWIuSVJlc29sdmFibGUifSx7ImZxbiI6ImF3cy1jZGstbGliLmF3c19jbGVhbnJvb21zLkNmbkFuYWx5c2lzVGVtcGxhdGUuQ29sdW1uQ2xhc3NpZmljYXRpb25EZXRhaWxzUHJvcGVydHkifV19fQ==")), "columnClassification")
  @epsilon = epsilon
  Jsii::Type.check_type(@epsilon, JSON.parse(Base64.strict_decode64("eyJwcmltaXRpdmUiOiJudW1iZXIifQ==")), "epsilon")
  @max_membership_inference_attack_score = max_membership_inference_attack_score
  Jsii::Type.check_type(@max_membership_inference_attack_score, JSON.parse(Base64.strict_decode64("eyJwcmltaXRpdmUiOiJudW1iZXIifQ==")), "maxMembershipInferenceAttackScore")
end

Instance Attribute Details

#column_classification ⇒ AWSCDK::IResolvable, AWSCDK::CleanRooms::CfnAnalysisTemplate::ColumnClassificationDetailsProperty (readonly)

Classification details for data columns that specify how each column should be treated during synthetic data generation.

Returns:

See Also:



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# File 'clean_rooms/cfn_analysis_template.rb', line 1123

def column_classification
  @column_classification
end

#epsilon ⇒ Numeric (readonly)

The epsilon value for differential privacy when generating synthetic data.

Lower values provide stronger privacy guarantees but may reduce data utility.

Returns:

  • (Numeric)

See Also:



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# File 'clean_rooms/cfn_analysis_template.rb', line 1130

def epsilon
  @epsilon
end

#max_membership_inference_attack_score ⇒ Numeric (readonly)

The maximum acceptable score for membership inference attack vulnerability.

Synthetic data generation fails if the score for the resulting data exceeds this threshold.

Returns:

  • (Numeric)

See Also:



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# File 'clean_rooms/cfn_analysis_template.rb', line 1137

def max_membership_inference_attack_score
  @max_membership_inference_attack_score
end

Class Method Details

.jsii_properties ⇒ Object 



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# File 'clean_rooms/cfn_analysis_template.rb', line 1139

def self.jsii_properties
  {
    :column_classification => "columnClassification",
    :epsilon => "epsilon",
    :max_membership_inference_attack_score => "maxMembershipInferenceAttackScore",
  }
end

Instance Method Details

#to_jsii ⇒ Object 



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# File 'clean_rooms/cfn_analysis_template.rb', line 1147

def to_jsii
  result = {}
  result.merge!({
    "columnClassification" => @column_classification,
    "epsilon" => @epsilon,
    "maxMembershipInferenceAttackScore" => @max_membership_inference_attack_score,
  })
  result.compact
end