This component generates synthetic values into a numeric column by sampling from a selected distribution (Uniform/Gaussian/Gamma) where the distribution parameters have been defined from the original column. It’s also possible to generate synthetic data from separate distributions for different subsets (dependency groups) of the data as defined based on one or more dependency columns. The synthetic value of each row in the original data can be recognized by the row ID. In addition, it is possible to exclude dependency groups with too few examples from the data generation, and add random noise to the synthetic data. Synthetic data generation is used, for example, when the original data is confidential (anonymization) or difficult or expensive to collect.