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SDV([model, model_kwargs])

Automated generative modeling and sampling tool.

SDV.fit(metadata[, tables, root_path])

Fit this SDV instance to the dataset data.

SDV.sample([table_name, num_rows, …])

Generate synthetic data for one table or the entire dataset.

SDV.sample_all([num_rows, reset_primary_keys])

Sample the entire dataset.


Save this SDV instance to the given path using cloudpickle.


Load a SDV instance from a given path.