mvpa2.misc.data_generators¶
Miscellaneous data generators for unittests and demos
Functions
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). |
local_random_affine_transformations (ds, …) |
Distort a dataset in the local neighborhood of selected features. |
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) |