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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69 lines
2.0 KiB
69 lines
2.0 KiB
6 years ago
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<template>
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<div id="PCP" class="parcoords" style="width:600;height:300px"></div>
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</template>
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<script>
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import 'parcoord-es/dist/parcoords.css';
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import ParCoords from 'parcoord-es';
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import * as d3Base from 'd3'
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// attach all d3 plugins to the d3 library
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const d3 = Object.assign(d3Base)
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import { EventBus } from '../main.js'
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export default {
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name: 'AlgorithmHyperParam',
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data () {
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return {
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ModelsPerformance: 0,
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selAlgorithm: 0,
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pc: 0
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}
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},
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methods: {
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PCPView () {
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var Combined = 0
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if (this.selAlgorithm == 'KNN') {
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Combined = JSON.parse(this.ModelsPerformance[0])
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} else {
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Combined = JSON.parse(this.ModelsPerformance[1])
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}
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var valuesPerf = Object.values(Combined['mean_test_score'])
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var ObjectsParams = Combined['params']
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var ArrayCombined = new Array(valuesPerf.length)
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for (let i = 0; i < valuesPerf.length; i++) {
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Object.assign(ObjectsParams[i], {performance: valuesPerf[i]})
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ArrayCombined[i] = ObjectsParams[i]
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}
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this.pc = ParCoords()("#PCP")
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.data(ArrayCombined)
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.bundlingStrength(0) // set bundling strength
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.smoothness(0)
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.bundleDimension('performance')
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.showControlPoints(false)
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.render()
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.brushMode('1D-axes')
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.reorderable()
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.interactive();
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},
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brushed () {
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if (this.pc.brushed()) {
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EventBus.$emit('ReturningBrushedPoints', this.pc.brushed())
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} else {
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EventBus.$emit('ReturningBrushedPoints', this.pc.data())
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}
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},
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clear () {
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d3.selectAll("#PCP > *").remove();
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}
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},
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mounted() {
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EventBus.$on('emittedEventCallingModelBrushed', this.brushed)
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EventBus.$on('emittedEventCallingModelSelect', data => { this.selAlgorithm = data })
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EventBus.$on('emittedEventCallingModel', data => { this.ModelsPerformance = data })
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EventBus.$on('emittedEventCallingModel', this.PCPView)
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EventBus.$on('emittedEventCallingModelClear', this.clear)
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}
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}
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</script>
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