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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73 lines
1.6 KiB
73 lines
1.6 KiB
var glslify = require('glslify')
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var drawTriangle = require('a-big-triangle')
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var invert = require('gl-matrix-invert')
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var canvas = document.createElement('canvas')
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var gl = canvas.getContext('webgl')
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var shader = glslify({
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vert: '\
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attribute vec2 position;\
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void main() {\
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gl_Position = vec4(position,0.0,1.0);\
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}',
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frag: '\
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precision highp float;\n\
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#pragma glslify: frob = require(glsl-frobenius)\n\
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#pragma glslify: inverse = require(../index.glsl)\n\
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uniform float m0,t0;\
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uniform mat2 m1,t1;\
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uniform mat3 m2,t2;\
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uniform mat4 m3,t3;\
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void main() {\
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gl_FragColor = 100.0 * vec4(\
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frob(inverse(m0)-t0),\
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frob(inverse(m1)-t1),\
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frob(inverse(m2)-t2),\
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frob(inverse(m3)-t3));\
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}',
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inline: true
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})(gl)
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function runTest(m0, m1, m2, m3) {
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shader.bind()
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shader.uniforms = {
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t0: 1.0/m0,
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t1: invert(new Array(4), m1),
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t2: invert(new Array(9), m2),
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t3: invert(new Array(16), m3),
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m0: m0,
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m1: m1,
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m2: m2,
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m3: m3
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}
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drawTriangle(gl)
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var result = new Uint8Array(4)
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gl.readPixels(0, 0, 1, 1, gl.RGBA, gl.UNSIGNED_BYTE, result)
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if(result[0] > 0 ||
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result[1] > 0 ||
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result[2] > 0 ||
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result[3] > 0) {
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console.log('fail', result[0], result[1], result[2], result[3])
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} else {
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console.log('ok')
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}
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}
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function randFloat() {
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return (Math.random() - 0.5) * Math.pow(2, 20*(Math.random()-0.5))
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}
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function randArray(n) {
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var r = new Array(n)
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for(var i=0; i<n; ++i) {
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r[i] = randFloat()
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}
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return r
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}
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for(var i=0; i<100; ++i) {
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runTest(randFloat(), randArray(4), randArray(9), randArray(16))
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} |