bestchoice
Version:
Self Learning Weighted Multivariate Testing Module
63 lines (49 loc) • 2.04 kB
JavaScript
;
var _createClass = function () { function defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } } return function (Constructor, protoProps, staticProps) { if (protoProps) defineProperties(Constructor.prototype, protoProps); if (staticProps) defineProperties(Constructor, staticProps); return Constructor; }; }();
function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } }
// UCB1 Algorithm Implementation
var UCB1 = function () {
function UCB1(counts, values) {
_classCallCheck(this, UCB1);
this.counts = counts;
this.values = values;
}
_createClass(UCB1, [{
key: "initialize",
value: function initialize() {
this.counts = Array(this.nArms).fill(0);
this.values = Array(this.nArms).fill(0);
}
}, {
key: "selectArm",
// Method to select the arm
value: function selectArm() {
this.nArms = this.counts.length;
for (var arm = 0; arm < this.nArms; arm++) {
if (this.counts[arm] === 0) {
return arm;
}
var bonus = 0;
var ucbValues = [];
var totalCounts = sum(this.counts);
for (var col = 1; col < this.nArms; col++) {
ucbValues.append(0.0);
bonus = Math.sqrt(2 * Math.log(totalCounts));
ucbValues[arm] = this.values[arm] + bonus;
}
return maxIndex(ucbValues);
}
}
}, {
key: "update",
value: function update(chosenArm, reward) {
var n = this.counts[chosenArm];
var value = this.values[chosenArm];
var newValue = (n - 1) / n * value + 1 / n * reward;
this.values[chosenArm] = newValue;
return;
}
}]);
return UCB1;
}();
module.exports = UCB1;