Miscellaneous data generators for unittests and demos


autocorrelated_noise(ds, sr, cutoff[, lfnl, ...]) Generate a dataset with samples being temporally autocorrelated noise.
chirp_linear(n_instances[, n_features, ...]) Generates simple dataset for linear regressions
dumb_feature_binary_dataset() Very simple binary (2 labels) dataset
dumb_feature_dataset() Create a very simple dataset with 2 features and 3 labels
get_mv_pattern(s2n) Simple multivariate dataset
linear1d_gaussian_noise([size, slope, ...]) A straight line with some Gaussian noise.
linear_awgn([size, intercept, slope, ...]) Generate a dataset from a linear function with AWGN (Added White Gaussian Noise).
multiple_chunks(func, n_chunks, *args, **kwargs) Replicate datasets multiple times raising different chunks
noisy_2d_fx(size_per_fx, dfx, sfx, center[, ...]) Yet another generator of random dataset
normal_feature_dataset([perlabel, nlabels, ...]) Generate a univariate dataset with normal noise and specified means.
pure_multivariate_signal(patterns[, ...]) Create a 2d dataset with a clear purely multivariate signal.
random_affine_transformation(ds[, ...]) Distort a dataset by random scale, shift, and rotation.
simple_hrf_dataset([events, hrf_gen, ...]) events: list of Events or ndarray of onsets for simple(r) designs
sin_modulated(n_instances, n_features[, ...]) Generate a (quite) complex multidimensional non-linear dataset
wr1996([size]) Generate ‘6d robot arm’ dataset (Williams and Rasmussen 1996)