Generating synthetic data is useful when you have imbalanced training data for a particular class, for example, generating synthetic females in a dataset of employees that has many males but few ...

A wrapper function signature might look something like dataset_similarity (p_file, q_file, ae_ld, ae_bs, ae_me) where ae_ld is the autoencoder latent dimension size, ae_bs is the autoencoder training ...