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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52 lines
1.0 KiB
52 lines
1.0 KiB
4 years ago
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'use strict';
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var path = require('path');
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var utils = require('../utils');
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module.exports = function(app) {
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return {
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type: ['array', 'boolean', 'string', 'object'],
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normalize: function(val, key, config, schema) {
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if (typeof val === 'undefined') {
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return;
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}
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schema.update('cwd', config);
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var cwd = path.resolve(config.cwd || app.cwd);
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if (utils.isObject(val)) {
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return val;
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}
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val = utils.arrayify(val);
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val = normalizeArray(cwd, val);
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config[key] = val;
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return val;
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}
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};
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};
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function normalizePath(cwd, name) {
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var fp = utils.stripQuotes(name);
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if (!fp || utils.hasGlob(fp)) {
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return fp;
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}
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if (fp.charAt(0) === '.' || /[\\\/]/.test(fp)) {
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fp = path.resolve(fp);
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}
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if (!utils.exists(fp)) {
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return name;
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}
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return path.resolve(cwd, fp);
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}
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function normalizeArray(cwd, arr) {
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var len = arr.length;
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var idx = -1;
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var res = [];
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while (++idx < len) {
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res = res.concat(normalizePath(cwd, arr[idx]));
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}
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return res;
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}
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