KDE-Gaussian

2021年3月29日

"In statistics, kernel density estimation (KDE) is a non-parametric way to estimate the probability density function of a random variable."
from wikipedia.com

2021年3月29日

發行說明

fixed a issue when using float type observations.
added a draw function to draw the KDE graph(you need to see all the bar history to see it, doesnt work for float observations)

2021年4月3日

發行說明

removed some redundant parameters, added bandwidth, nstep parameters, the graph looks stepd due to x axis havin interdigit floating numbers so it rounds to nearest causing that effect.

2021年4月4日

發行說明

improved the kde draw function