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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40 lines
967 B
40 lines
967 B
"use strict"
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var implementations = [
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{ name: "delaunay-triangulate", algo: require("../triangulate") }
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//,{ name: "delaunay-fast", algo: require("delaunay-fast").triangulate }
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//,{ name: "delaunay", algo: require("delaunay").triangulate }
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]
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var cases = require("./cases.js")
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var WARM_UP = 10
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var NUM_ITER = 40
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function doBench(algo, points) {
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for(var i=0; i<WARM_UP; ++i) {
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algo(points)
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}
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var count = 0
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var start = Date.now()
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for(var i=0; i<NUM_ITER; ++i) {
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count += algo(points).length
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}
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var end = Date.now()
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return [ (end - start)/NUM_ITER, count ]
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}
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function startBench() {
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implementations.forEach(function(impl) {
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console.log("testing", impl.name, "...")
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cases.forEach(function(testCase) {
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console.log("running test case:", testCase.name)
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var res = doBench(impl.algo, testCase.points)
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console.log("time:", res[0], "ms - numTris:", res[1])
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})
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})
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}
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window.startBench = startBench
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//startBench()
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