Synthesis

Synthesizers

Synthesizer objects are the core component of Synthesized. They provide implementations of the models that can learn from data to produce highly accurate and representative synthetic data.

HighDimSynthesizer(df_meta[, config, ...])	Synthesizer that can learn to generate data from a single tabular dataset.
TwoTableSynthesizer(df_metas, keys[, relation])	Synthesizer that can learn to generate data from two tables.

Data Reshaping & Augmentation

In addition to generating synthetic data that looks and behaves exactly like the original, Synthesized provides tools that enable data reshaping and generation of arbitrary scenarios.

ConditionalSampler(synthesizer[, ...])	Generate conditional data that corresponds to user-defined marginal distributions of specific columns.
DataImputer(synthesizer)	Impute values (e.g missing values, outliers) in original data using a Synthesizer to generate realistic data points.

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HighDimSynthesizer