This version includes the core features of this compressive learning toolbox:
* Sketching datasets with generic feature maps, the complex exponential, quantized sketching
* Learning from a sketch for k-means centroids and Gaussian mixtures modeling
Some included bonus features:
* Sketching with Differential Privacy
* Estimation of the sketch scale parameter for the complex exponential sketch
* Utilities for generating datasets and metrics for the learned models