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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41 lines
1.1 KiB
41 lines
1.1 KiB
/////////////////////////////////////
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// Taken from ariya/phantomjs#10522
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//
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Function.prototype.bind = function bind(that) { // .length is 1
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var target = this;
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if (typeof target != "function") {
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throw new TypeError("Function.prototype.bind called on incompatible " + target);
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}
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var args = Array.prototype.slice.call(arguments, 1); // for normal call
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var bound = function () {
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if (this instanceof bound) {
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var result = target.apply(
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this,
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args.concat(Array.prototype.slice.call(arguments))
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);
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if (Object(result) === result) {
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return result;
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}
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return this;
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} else {
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return target.apply(
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that,
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args.concat(Array.prototype.slice.call(arguments))
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);
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}
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};
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function Empty() {};
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if(target.prototype) {
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Empty.prototype = target.prototype;
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bound.prototype = new Empty();
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Empty.prototype = null;
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}
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return bound;
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}; |