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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35 lines
934 B
35 lines
934 B
var fs = require("fs");
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function handleEpipe(error) {
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if (error.code === "EPIPE" || error.errno === "EPIPE") {
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process.exit(0);
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}
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}
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module.exports = function(file) {
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var output = (file === "-" ? process.stdout : fs.createWriteStream(file)).on("error", handleEpipe),
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queue = Promise.resolve();
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return {
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write: function(data) {
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return queue = queue.then(function() {
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return new Promise(function(resolve, reject) {
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output.write(data, function(error) {
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if (error) reject(error);
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else resolve();
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});
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});
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});
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},
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end: function() {
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if (output === process.stdout) return queue;
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return queue = queue.then(function() {
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return new Promise(function(resolve, reject) {
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output.end(function(error) {
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if (error) reject(error);
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else resolve();
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});
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});
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});
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}
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};
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};
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