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❖ XSynthesizers

Previous❖ Differential PrivacyNextData Preparation

Last updated 14 days ago

Go the eXtra mile with your synthesis. Use enhanced synthesizers and transformers for improved synthetic data quality and performance.

Included Features

This bundle includes versions of synthesizers and transformers that have been expanded with additional features.

Enhanced synthesizers for higher quality synthetic data. Use this to model your real data and create synthetic data.

  • XGCSynthesizer is expanded version of the GaussianCopulaSynthesizer that includes modeling support for 100+ additional column shapes. Use this single-table synthesizer in combination with multi-table synthesizers such as HSASynthesizer.

  • SegmentSynthesizer is a specialty synthesizer that you can use for a table of highly segmented data.

  • BootstrapSynthesizer, designed specially to learn from data with only a few rows, or "short and wide" data containing more columns than rows/

Enhanced transformers for more accurate data preprocessing. Use these as a preprocessing step with any SDV synthesizer.

  • XGaussianNormalizer is an expanded version of the GaussianNormalizer transformer. This also includes modeling support for 100+ additional column shapes. Use this transformer with any of the SDV synthesizers.

  • ECDFNormalizer provides another way to normalize your data by direct, empirical computation. With this transformer, there is no need to choose a predefined column shape. Use this transformer with any of the SDV synthesizers.

Installation

Purchase the XSynthesizers bundle and install it separately.

% pip install -U bundle-xsynthesizers --index-url https://pypi.datacebo.com

This command prompts you for your SDV Enterprise credentials.

This functionality is in Beta. At this time, select SDV Enterprise users are able to use this feature and provide feedback.