StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics
https://doi.org/10.1109/TVCG.2020.3030352
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
Angelos Chatzimparmpas
e069030893
|
4 years ago | |
|---|---|---|
| .. | ||
| test | 4 years ago | |
| .travis.yml | 4 years ago | |
| LICENSE | 4 years ago | |
| index.js | 4 years ago | |
| package.json | 4 years ago | |
| readme.markdown | 4 years ago | |
readme.markdown
gamma
gamma function in javascript using the lanczos approximation for small values and the spouge approximation for larger values
example
> var gamma = require('gamma')
> gamma(5)
23.999999999999996
> gamma(1.6)
0.8935153492876909
methods
var gamma = require('gamma')
gamma(z)
Return the gamma function over z. Complex numbers aren't supported, only reals.
gamma.log(z)
Return the natural log of the gamma function for z.
This function is used internally by the spouge approximation to compute large values.
install
With npm do:
npm install gamma
kudos
Implementation transliterated from the python script on the wikipedia entry for the lanczos approximation.
Spouge approximation from Niggler.
license
MIT