Class MLSyntheticDataParameters
- All Implemented Interfaces:
Serializable,SdkPojo,ToCopyableBuilder<MLSyntheticDataParameters.Builder,MLSyntheticDataParameters>
Parameters that control the generation of synthetic data for custom model training, including privacy settings and column classification details.
- See Also:
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Nested Class Summary
Nested Classes -
Method Summary
Modifier and TypeMethodDescriptionbuilder()Classification details for data columns that specify how each column should be treated during synthetic data generation.final Doubleepsilon()The epsilon value for differential privacy, which controls the privacy-utility tradeoff in synthetic data generation.final booleanfinal booleanequalsBySdkFields(Object obj) Indicates whether some other object is "equal to" this one by SDK fields.final <T> Optional<T> getValueForField(String fieldName, Class<T> clazz) final inthashCode()final DoubleThe maximum acceptable score for membership inference attack vulnerability.static Class<? extends MLSyntheticDataParameters.Builder> Take this object and create a builder that contains all of the current property values of this object.final StringtoString()Returns a string representation of this object.Methods inherited from interface software.amazon.awssdk.utils.builder.ToCopyableBuilder
copy
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Method Details
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epsilon
The epsilon value for differential privacy, which controls the privacy-utility tradeoff in synthetic data generation. Lower values provide stronger privacy guarantees but may reduce data utility.
- Returns:
- The epsilon value for differential privacy, which controls the privacy-utility tradeoff in synthetic data generation. Lower values provide stronger privacy guarantees but may reduce data utility.
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maxMembershipInferenceAttackScore
The maximum acceptable score for membership inference attack vulnerability. Synthetic data generation fails if the score for the resulting data exceeds this threshold.
- Returns:
- The maximum acceptable score for membership inference attack vulnerability. Synthetic data generation fails if the score for the resulting data exceeds this threshold.
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columnClassification
Classification details for data columns that specify how each column should be treated during synthetic data generation.
- Returns:
- Classification details for data columns that specify how each column should be treated during synthetic data generation.
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toBuilder
Description copied from interface:ToCopyableBuilderTake this object and create a builder that contains all of the current property values of this object.- Specified by:
toBuilderin interfaceToCopyableBuilder<MLSyntheticDataParameters.Builder,MLSyntheticDataParameters> - Returns:
- a builder for type T
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builder
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serializableBuilderClass
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hashCode
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equals
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equalsBySdkFields
Description copied from interface:SdkPojoIndicates whether some other object is "equal to" this one by SDK fields. An SDK field is a modeled, non-inherited field in anSdkPojoclass, and is generated based on a service model.If an
SdkPojoclass does not have any inherited fields,equalsBySdkFieldsandequalsare essentially the same.- Specified by:
equalsBySdkFieldsin interfaceSdkPojo- Parameters:
obj- the object to be compared with- Returns:
- true if the other object equals to this object by sdk fields, false otherwise.
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toString
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getValueForField
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sdkFields
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sdkFieldNameToField
- Specified by:
sdkFieldNameToFieldin interfaceSdkPojo- Returns:
- The mapping between the field name and its corresponding field.
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