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
842 B
40 lines
842 B
6 years ago
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<template>
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<div>
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<div class="squares-container">
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<canvas id="main-canvas"></canvas>
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<svg id="main-svg"></svg>
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</div>
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</div>
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</template>
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<script>
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import { EventBus } from '../main.js'
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export default {
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name: 'Provenance',
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data () {
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return {
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}
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},
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methods: {
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provenance () {
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var container = d3.select(".squares-container");
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var vis = new SquaresVisualization(container.node());
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loadData("mnist.csv", DATA => {
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vis.layout();
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vis.setInstances(DATA.slice(0, 4000));
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vis.setLayoutParameter({
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y0: 10,
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numberBins: 10,
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squaresPerBin: 11,
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squareSize: 3,
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squareSpacing: 4,
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xSpacing: 88
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});
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});
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}
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},
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mount () {
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}
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}
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</script>
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