coco
164 lines
9.8 KiB
JavaScript
164 lines
9.8 KiB
JavaScript
var SVC = function(nClasses, nRows, vectors, coefficients, intercepts, weights, kernel, gamma, coef0, degree) {
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this.nClasses = nClasses;
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this.classes = new Array(nClasses);
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for (var i = 0; i < nClasses; i++) {
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this.classes[i] = i;
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}
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this.nRows = nRows;
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this.vectors = vectors;
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this.coefficients = coefficients;
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this.intercepts = intercepts;
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this.weights = weights;
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this.kernel = kernel.toUpperCase();
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this.gamma = gamma;
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this.coef0 = coef0;
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this.degree = degree;
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this.predict = function(features) {
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var kernels = new Array(vectors.length);
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var kernel;
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switch (this.kernel) {
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case 'LINEAR':
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// <x,x'>
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for (var i = 0; i < this.vectors.length; i++) {
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kernel = 0.;
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for (var j = 0; j < this.vectors[i].length; j++) {
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kernel += this.vectors[i][j] * features[j];
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}
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kernels[i] = kernel;
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}
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break;
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case 'POLY':
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// (y<x,x'>+r)^d
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for (var i = 0; i < this.vectors.length; i++) {
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kernel = 0.;
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for (var j = 0; j < this.vectors[i].length; j++) {
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kernel += this.vectors[i][j] * features[j];
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}
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kernels[i] = Math.pow((this.gamma * kernel) + this.coef0, this.degree);
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}
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break;
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case 'RBF':
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// exp(-y|x-x'|^2)
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for (var i = 0; i < this.vectors.length; i++) {
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kernel = 0.;
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for (var j = 0; j < this.vectors[i].length; j++) {
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kernel += Math.pow(this.vectors[i][j] - features[j], 2);
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}
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kernels[i] = Math.exp(-this.gamma * kernel);
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}
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break;
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case 'SIGMOID':
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// tanh(y<x,x'>+r)
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for (var i = 0; i < this.vectors.length; i++) {
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kernel = 0.;
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for (var j = 0; j < this.vectors[i].length; j++) {
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kernel += this.vectors[i][j] * features[j];
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}
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kernels[i] = Math.tanh((this.gamma * kernel) + this.coef0);
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}
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break;
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}
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var starts = new Array(this.nRows);
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for (var i = 0; i < this.nRows; i++) {
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if (i != 0) {
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var start = 0;
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for (var j = 0; j < i; j++) {
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start += this.weights[j];
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}
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starts[i] = start;
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} else {
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starts[0] = 0;
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}
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}
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var ends = new Array(this.nRows);
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for (var i = 0; i < this.nRows; i++) {
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ends[i] = this.weights[i] + starts[i];
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}
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if (this.nClasses == 2) {
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for (var i = 0; i < kernels.length; i++) {
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kernels[i] = -kernels[i];
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}
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var decision = 0.;
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for (var k = starts[1]; k < ends[1]; k++) {
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decision += kernels[k] * this.coefficients[0][k];
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}
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for (var k = starts[0]; k < ends[0]; k++) {
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decision += kernels[k] * this.coefficients[0][k];
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}
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decision += this.intercepts[0];
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if (decision > 0) {
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return 0;
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}
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return 1;
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}
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var decisions = new Array(this.intercepts.length);
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for (var i = 0, d = 0, l = this.nRows; i < l; i++) {
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for (var j = i + 1; j < l; j++) {
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var tmp = 0.;
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for (var k = starts[j]; k < ends[j]; k++) {
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tmp += this.coefficients[i][k] * kernels[k];
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}
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for (var k = starts[i]; k < ends[i]; k++) {
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tmp += this.coefficients[j - 1][k] * kernels[k];
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}
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decisions[d] = tmp + this.intercepts[d];
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d++;
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}
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}
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var votes = new Array(this.intercepts.length);
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for (var i = 0, d = 0, l = this.nRows; i < l; i++) {
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for (var j = i + 1; j < l; j++) {
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votes[d] = decisions[d] > 0 ? i : j;
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d++;
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}
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}
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var amounts = new Array(this.nClasses).fill(0);
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for (var i = 0, l = votes.length; i < l; i++) {
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amounts[votes[i]] += 1;
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}
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var classVal = -1, classIdx = -1;
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for (var i = 0, l = amounts.length; i < l; i++) {
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if (amounts[i] > classVal) {
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classVal = amounts[i];
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classIdx= i;
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}
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}
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return this.classes[classIdx];
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}
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};
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if (typeof process !== 'undefined' && typeof process.argv !== 'undefined') {
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if (process.argv.length - 2 === 6) {
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// Features:
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var features = process.argv.slice(2);
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// Parameters:
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var vectors = [[19.0, 67.0, 203.0, 193.0, 129.0, 148.0], [19.0, 81.0, 217.0, 200.0, 131.0, 153.0], [19.0, 77.0, 211.0, 197.0, 130.0, 151.0], [18.0, 74.0, 216.0, 200.0, 131.0, 150.0], [8.0, 83.0, 220.0, 187.0, 144.0, 145.0], [7.0, 106.0, 163.0, 132.0, 146.0, 145.0], [7.0, 129.0, 182.0, 139.0, 152.0, 152.0], [7.0, 128.0, 182.0, 139.0, 152.0, 152.0], [9.0, 93.0, 245.0, 204.0, 146.0, 151.0], [2.0, 118.0, 206.0, 152.0, 160.0, 147.0], [2.0, 123.0, 224.0, 162.0, 164.0, 150.0], [1.0, 122.0, 157.0, 114.0, 157.0, 143.0], [4.0, 132.0, 178.0, 130.0, 157.0, 150.0], [1.0, 153.0, 152.0, 100.0, 164.0, 148.0], [1.0, 150.0, 173.0, 115.0, 167.0, 150.0], [2.0, 151.0, 152.0, 102.0, 162.0, 149.0], [1.0, 159.0, 162.0, 104.0, 167.0, 151.0], [178.0, 124.0, 169.0, 119.0, 162.0, 140.0], [177.0, 152.0, 121.0, 78.0, 160.0, 140.0], [178.0, 155.0, 115.0, 73.0, 159.0, 141.0], [144.0, 169.0, 124.0, 76.0, 163.0, 146.0], [1.0, 165.0, 150.0, 94.0, 167.0, 150.0], [178.0, 149.0, 119.0, 78.0, 159.0, 141.0], [164.0, 155.0, 119.0, 76.0, 160.0, 142.0], [1.0, 136.0, 156.0, 108.0, 160.0, 145.0], [178.0, 145.0, 128.0, 85.0, 160.0, 140.0], [114.0, 157.0, 119.0, 76.0, 160.0, 143.0], [168.0, 150.0, 115.0, 74.0, 158.0, 141.0], [0.0, 159.0, 157.0, 100.0, 167.0, 150.0], [177.0, 160.0, 118.0, 74.0, 161.0, 141.0], [0.0, 133.0, 191.0, 131.0, 167.0, 147.0], [178.0, 152.0, 124.0, 80.0, 160.0, 141.0], [178.0, 122.0, 162.0, 116.0, 160.0, 139.0], [178.0, 157.0, 127.0, 81.0, 162.0, 142.0], [178.0, 147.0, 122.0, 80.0, 159.0, 140.0], [1.0, 135.0, 149.0, 104.0, 159.0, 145.0], [0.0, 138.0, 198.0, 133.0, 169.0, 149.0], [179.0, 125.0, 167.0, 117.0, 161.0, 142.0], [178.0, 157.0, 114.0, 72.0, 159.0, 141.0], [1.0, 129.0, 182.0, 127.0, 164.0, 146.0], [1.0, 132.0, 159.0, 112.0, 160.0, 145.0], [178.0, 151.0, 116.0, 75.0, 158.0, 140.0], [177.0, 173.0, 122.0, 73.0, 164.0, 144.0], [177.0, 165.0, 128.0, 79.0, 164.0, 143.0], [178.0, 166.0, 122.0, 75.0, 163.0, 143.0], [177.0, 118.0, 120.0, 87.0, 153.0, 136.0], [178.0, 115.0, 135.0, 99.0, 154.0, 137.0], [177.0, 118.0, 122.0, 88.0, 153.0, 136.0], [124.0, 114.0, 123.0, 91.0, 151.0, 137.0], [177.0, 171.0, 114.0, 69.0, 162.0, 143.0], [177.0, 172.0, 113.0, 68.0, 162.0, 143.0], [176.0, 144.0, 123.0, 81.0, 159.0, 138.0], [178.0, 167.0, 118.0, 72.0, 162.0, 143.0], [177.0, 172.0, 123.0, 75.0, 164.0, 144.0], [177.0, 135.0, 134.0, 92.0, 159.0, 138.0], [177.0, 120.0, 139.0, 100.0, 156.0, 137.0], [178.0, 167.0, 119.0, 73.0, 162.0, 143.0]];
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var coefficients = [[0.0, 0.0038545776095045424, 0.0, 5.3340301342833886e-05, -0.0033247158696419685, -0.0, -0.0, -0.0, -0.0005832020412054078, -7.057383918306568e-05, -0.00036143565337392973, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -1.84284223988671e-05, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.00019441952851682932, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -6.526776098945923e-05, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0], [0.0, 0.0004320094925569954, 0.0, 0.0, 0.0, 0.0, 0.025302498031903337, 0.00211378176605504, 0.0, -0.006016072596945847, -0.0, -0.0, -0.021400207201012534, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0006153624681027348, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.00019438819844166922, -0.0, -0.005318489351289106, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.00011680196227296622, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0], [0.0, 0.0, 0.00021284795091569642, 0.0, 0.0, 0.00022676527329307724, 0.005901474744540431, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.03514172035883584, 0.0, 1.0, -0.0, -0.0, -0.0, -0.002110636488197338, -1.0, -0.0, -0.0, -0.09241440956197279, -0.0, -0.0, -0.0, -0.05274462280859587, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.6213567548696584, -0.2665152966304088, -0.0, -0.0, -0.0, -1.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.00011847542874431661, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0], [6.526776098945923e-05, 0.0, 0.0, 0.0, 0.0, 0.00011680196227296622, 0.0, 0.0, 0.0, 0.0, 0.0, 8.837019916436589e-05, 0.0, 0.0, 0.0, 3.0105229579950734e-05, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 1.0, 1.0, 0.0, 1.0, 0.6196007776877644, 0.014877240287376452, 0.0, 1.0, 0.0, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 1.0, -1.0, -1.0, -1.0, -0.2525249717049514, -0.9139145934471427, -1.0, -0.8694337173117702, -1.0, -0.3487089413240337, -1.0, -1.0, -1.0, -1.0, -0.2498957941872232, -1.0]];
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var intercepts = [1.4580565469820796, 0.857852182962587, -1.0407286545400531, -0.9300982279802896, 7.657342570536519, -0.5929370566689991, -0.24919698650937327, -42.8270886357245, -0.3486237873011033, -113.99951084737917];
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var weights = [4, 5, 8, 25, 15];
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// Prediction:
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var clf = new SVC(5, 5, vectors, coefficients, intercepts, weights, "linear", 0.02, 0.0, 3);
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var prediction = clf.predict(features);
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console.log(prediction);
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}
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} |