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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39 lines
801 B
39 lines
801 B
4 years ago
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function iterateProps(obj, iterator) {
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Object.keys(obj).forEach(key => iterator({ ...obj[key], name: key }));
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}
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function mapProps(obj) {
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return Object.keys(obj).map(key => ({ ...obj[key], name: key }));
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}
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function filterProps(obj, filter) {
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const ret = {};
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Object.keys(obj).forEach(key => {
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if (filter(obj[key])) {
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ret[key] = obj[key];
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}
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});
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return ret;
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}
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function typeSignature(meta) {
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const type = meta.array ? `Array<${meta.type}>` : meta.type;
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if (meta.optional) {
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return `${meta.name}?: ${type}`;
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} else if (meta.maybe) {
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return `${meta.name}: ?${type}`;
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} else {
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return `${meta.name}: ${type}`;
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}
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}
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const unique = items => Array.from(new Set(items));
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module.exports = {
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iterateProps,
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mapProps,
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filterProps,
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typeSignature,
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unique
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};
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