Datasets

The imbens.datasets provides methods to generate imbalanced data.

make_imbalance(X, y, *[, sampling_strategy, ...])	Turns a dataset into an imbalanced dataset with a specific sampling strategy.
generate_imbalance_data([n_samples, ...])	Generate a random n-classes imbalanced classification problem.
fetch_datasets(*[, data_home, filter_data, ...])	Load the benchmark datasets from Zenodo, downloading it if necessary.