StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics
https://doi.org/10.1109/TVCG.2020.3030352
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Angelos Chatzimparmpas
f521a3509d
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4 years ago | |
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| .. | ||
| 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