Changes
- Adding
kde()method for Kernel Density Estimation — returns a closure that estimates PDF or CDF from sample data, supporting 9 kernel functions with aliases - Adding
kdeRandom()method for random sampling from a Kernel Density Estimate — returns a closure that generates random floats from the KDE distribution - Introducing
KdeKernelbacked string enum —kde()andkdeRandom(). It acceptsKdeKernelenum cases - Adding Kernel Density Estimation (KDE) examples
Full Changelog: v1.2.2...v1.2.3