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Improving synthetic data up to +40% (without building new ML models)
Neha Patki
Romain Palazzo

Neha Patki and Romain Palazzo

28 August, 2023

Improving synthetic data up to +40% (without building new ML models)

See how we improved synthetic data without modifying the generative algorithms or affecting performance.

Improving synthetic data up to +40% (without building new ML models)
Neha Patki
Romain Palazzo

Neha Patki and Romain Palazzo

28 August, 2023

Improving synthetic data up to +40% (without building new ML models)

See how we improved synthetic data without modifying the generative algorithms or affecting performance.

Building the Unique Combinations Constraint in the SDV
Neha Patki

Neha Patki

25 January, 2022

Building the Unique Combinations Constraint in the SDV

Sometimes, you want to limit the amount of permutations in your synthetic data. Explore the strategies we used for enforcing this kind of logic.

How we engineered constraint handling strategies in SDV
Andrew Montanez

Andrew Montanez

21 December, 2021

How we engineered constraint handling strategies in SDV

The SDV enforces deterministic rules using constraints. What strategies did we use to engineer this ML system? Dive into the details.

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