Synthetic Data Vault
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  • Single Table Data
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      • Synthesizers
        • GaussianCopulaSynthesizer
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        • ❖ XGCSynthesizer
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        • * DayZSynthesizer
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  • Multi Table Data
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      • Cleaning Your Data
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    • Modeling
      • Synthesizers
        • * DayZSynthesizer
        • * IndependentSynthesizer
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        • * HSASynthesizer
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        • Preprocessing
      • * Performance Estimates
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      • PARSynthesizer
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  • Concepts
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    • Constraints
      • Predefined Constraints
        • Positive
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        • FixedIncrements
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        • ❖ FixedNullCombinations
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        • OneHotEncoding
        • Inequality
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        • * ChainedInequality
      • Custom Logic
        • Example: IfTrueThenZero
      • ❖ Constraint Augmented Generation (CAG)
        • ❖ CarryOverColumns
        • ❖ CompositeKey
        • ❖ ForeignToForeignKey
        • ❖ ForeignToPrimaryKeySubset
        • ❖ PrimaryToPrimaryKey
        • ❖ PrimaryToPrimaryKeySubset
        • ❖ SelfReferentialHierarchy
        • ❖ ReferenceTable
        • ❖ UniqueBridgeTable
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On this page
  1. Single Table Data
  2. Modeling

Customizations

PreviousCopulaGANSynthesizerNextConstraints

Last updated 11 months ago

Customize your synthesizer for better quality synthetic data. The guides in this section walk you through the programmable options available in the SDV.

Add logical rules to the synthesizer. Capture business logic that may be hard for machine learning to capture on its own

Specify full pre- and post-processing steps for your data. Manually input transformers as well as anonymization options.

Constraints
Preprocessing