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
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| .eslintrc.json | 5 years ago | |
| .travis.yml | 5 years ago | |
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| package.json | 5 years ago | |
| readme.md | 5 years ago | |
| test.js | 5 years ago | |
readme.md
color-normalize 
Convert any color argument (string, color, number, object etc.) to an array with channels data of desired output format.
Usage
const rgba = require('color-normalize')
rgba('red') // [1, 0, 0, 1]
rgba('rgb(80, 120, 160)', 'uint8') // Uint8Array<[80, 120, 160, 255]>
rgba('rgba(255, 255, 255, .5)', 'float64') // Float64Array<[1, 1, 1, .5]>
rgba('hsla(109, 50%, 50%, .75)', 'uint8') // Uint8Array<[87, 191, 64, 191]>
rgba(new Float32Array([0, 0.25, 0, 1]), 'uint8_clamped') // Uint8ClampedArray<[0, 64, 0, 255]>
rgba(new Uint8Array([0, 72, 0, 255]), 'array') // [0, 0.2823529411764706, 0, 1]
// ambivalent input
rgba([0,0,0]) // [0,0,0]
rgba([.5,.5,.5]) // [.5,.5,.5]
rgba([1,1,1]) // [1,1,1]
rgba([127,127,127]) // [.5,.5,.5]
rgba([255,255,255]) // [1,1,1]
Output format can be any dtype: uint8, uint8_clamped, array, float32, float64 etc. By default it converts to array with 0..1 range values.
Related
- color-alpha − change alpha of a color string.
- color-interpolate − interpolate by color palette.
- color-parse − comprehensive color string parser.
- color-rgba − get rgba channel values from a string.
- flatten-vertex-data − ensure sequence of point coordinates is flat.
License
(c) 2017 Dima Yv. MIT License