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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64 lines
1.9 KiB
64 lines
1.9 KiB
4 years ago
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"use strict"
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var robustScale = require("robust-scale")
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var robustSum = require("robust-sum")
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var robustCompre = require("robust-compare")
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var validate = require("validate-robust-sequence")
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var compress = require("robust-compress")
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var tape = require("tape")
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var robustLinSolve = require("../linsolve")
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tape("robust-linear-solve", function(t) {
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function verify(A, b, unsolvable, label) {
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if(!label) {
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label = "hardcoded: "
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}
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var x = robustLinSolve(A, b)
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t.equals(x.length, A.length + 1, label + "check vector length")
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for(var i=0; i<x.length; ++i) {
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t.ok(validate(x[i]), label + "check valid sequence")
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t.ok(x[i].length <= compress(x[i]).length, label + "check compression")
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}
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if(unsolvable) {
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t.same(x[A.length], [0], "check system unsolvable")
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} else {
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for(var i=0; i<A.length; ++i) {
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var bi = robustScale(x[A.length], b[i])
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var ai = [ 0 ]
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for(var j=0; j<A.length; ++j) {
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ai = robustSum(ai, robustScale(x[j], A[i][j]))
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}
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t.equals(robustCompre(ai, bi), 0, label + "check component " + i + " equal")
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}
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}
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}
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verify([[1]], [1])
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verify([[1,0], [0,1]], [1, 2])
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verify([[1,0], [0,0]], [1,2], true)
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//Fuzz 1D
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for(var i=0; i<10; ++i) {
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verify([[Math.random()-0.5]], [Math.random()-0.5], false, "fuzz1d: ")
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}
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//Fuzz 2D
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for(var i=0; i<10; ++i) {
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verify([[Math.random()-0.5, Math.random()-0.5],
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[Math.random()-0.5, Math.random()-0.5]],
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[Math.random()-0.5, Math.random()-0.5], false, "fuzz2d: ")
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}
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//Fuzz 3D
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for(var i=0; i<10; ++i) {
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verify([[Math.random()-0.5, Math.random()-0.5, Math.random()-0.5],
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[Math.random()-0.5, Math.random()-0.5, Math.random()-0.5],
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[Math.random()-0.5, Math.random()-0.5, Math.random()-0.5]],
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[Math.random()-0.5, Math.random()-0.5, Math.random()-0.5], false, "fuzz3d: ")
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}
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t.end()
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})
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