coco
164 lines
8.1 KiB
JavaScript
164 lines
8.1 KiB
JavaScript
var SVC = function(nClasses, nRows, vectors, coefficients, intercepts, weights, kernel, gamma, coef0, degree) {
|
|
|
|
this.nClasses = nClasses;
|
|
this.classes = new Array(nClasses);
|
|
for (var i = 0; i < nClasses; i++) {
|
|
this.classes[i] = i;
|
|
}
|
|
this.nRows = nRows;
|
|
this.vectors = vectors;
|
|
this.coefficients = coefficients;
|
|
this.intercepts = intercepts;
|
|
this.weights = weights;
|
|
this.kernel = kernel.toUpperCase();
|
|
this.gamma = gamma;
|
|
this.coef0 = coef0;
|
|
this.degree = degree;
|
|
|
|
this.predict = function(features) {
|
|
|
|
var kernels = new Array(vectors.length);
|
|
var kernel;
|
|
switch (this.kernel) {
|
|
case 'LINEAR':
|
|
// <x,x'>
|
|
for (var i = 0; i < this.vectors.length; i++) {
|
|
kernel = 0.;
|
|
for (var j = 0; j < this.vectors[i].length; j++) {
|
|
kernel += this.vectors[i][j] * features[j];
|
|
}
|
|
kernels[i] = kernel;
|
|
}
|
|
break;
|
|
case 'POLY':
|
|
// (y<x,x'>+r)^d
|
|
for (var i = 0; i < this.vectors.length; i++) {
|
|
kernel = 0.;
|
|
for (var j = 0; j < this.vectors[i].length; j++) {
|
|
kernel += this.vectors[i][j] * features[j];
|
|
}
|
|
kernels[i] = Math.pow((this.gamma * kernel) + this.coef0, this.degree);
|
|
}
|
|
break;
|
|
case 'RBF':
|
|
// exp(-y|x-x'|^2)
|
|
for (var i = 0; i < this.vectors.length; i++) {
|
|
kernel = 0.;
|
|
for (var j = 0; j < this.vectors[i].length; j++) {
|
|
kernel += Math.pow(this.vectors[i][j] - features[j], 2);
|
|
}
|
|
kernels[i] = Math.exp(-this.gamma * kernel);
|
|
}
|
|
break;
|
|
case 'SIGMOID':
|
|
// tanh(y<x,x'>+r)
|
|
for (var i = 0; i < this.vectors.length; i++) {
|
|
kernel = 0.;
|
|
for (var j = 0; j < this.vectors[i].length; j++) {
|
|
kernel += this.vectors[i][j] * features[j];
|
|
}
|
|
kernels[i] = Math.tanh((this.gamma * kernel) + this.coef0);
|
|
}
|
|
break;
|
|
}
|
|
|
|
var starts = new Array(this.nRows);
|
|
for (var i = 0; i < this.nRows; i++) {
|
|
if (i != 0) {
|
|
var start = 0;
|
|
for (var j = 0; j < i; j++) {
|
|
start += this.weights[j];
|
|
}
|
|
starts[i] = start;
|
|
} else {
|
|
starts[0] = 0;
|
|
}
|
|
}
|
|
|
|
var ends = new Array(this.nRows);
|
|
for (var i = 0; i < this.nRows; i++) {
|
|
ends[i] = this.weights[i] + starts[i];
|
|
}
|
|
|
|
if (this.nClasses == 2) {
|
|
|
|
for (var i = 0; i < kernels.length; i++) {
|
|
kernels[i] = -kernels[i];
|
|
}
|
|
|
|
var decision = 0.;
|
|
for (var k = starts[1]; k < ends[1]; k++) {
|
|
decision += kernels[k] * this.coefficients[0][k];
|
|
}
|
|
for (var k = starts[0]; k < ends[0]; k++) {
|
|
decision += kernels[k] * this.coefficients[0][k];
|
|
}
|
|
decision += this.intercepts[0];
|
|
|
|
if (decision > 0) {
|
|
return 0;
|
|
}
|
|
return 1;
|
|
|
|
}
|
|
|
|
var decisions = new Array(this.intercepts.length);
|
|
for (var i = 0, d = 0, l = this.nRows; i < l; i++) {
|
|
for (var j = i + 1; j < l; j++) {
|
|
var tmp = 0.;
|
|
for (var k = starts[j]; k < ends[j]; k++) {
|
|
tmp += this.coefficients[i][k] * kernels[k];
|
|
}
|
|
for (var k = starts[i]; k < ends[i]; k++) {
|
|
tmp += this.coefficients[j - 1][k] * kernels[k];
|
|
}
|
|
decisions[d] = tmp + this.intercepts[d];
|
|
d++;
|
|
}
|
|
}
|
|
|
|
var votes = new Array(this.intercepts.length);
|
|
for (var i = 0, d = 0, l = this.nRows; i < l; i++) {
|
|
for (var j = i + 1; j < l; j++) {
|
|
votes[d] = decisions[d] > 0 ? i : j;
|
|
d++;
|
|
}
|
|
}
|
|
|
|
var amounts = new Array(this.nClasses).fill(0);
|
|
for (var i = 0, l = votes.length; i < l; i++) {
|
|
amounts[votes[i]] += 1;
|
|
}
|
|
|
|
var classVal = -1, classIdx = -1;
|
|
for (var i = 0, l = amounts.length; i < l; i++) {
|
|
if (amounts[i] > classVal) {
|
|
classVal = amounts[i];
|
|
classIdx= i;
|
|
}
|
|
}
|
|
return this.classes[classIdx];
|
|
|
|
}
|
|
|
|
};
|
|
|
|
if (typeof process !== 'undefined' && typeof process.argv !== 'undefined') {
|
|
if (process.argv.length - 2 === 6) {
|
|
|
|
// Features:
|
|
var features = process.argv.slice(2);
|
|
|
|
// Parameters:
|
|
var vectors = [[36.0, 31.0, 160.0, 166.0, 122.0, 137.0], [37.0, 31.0, 159.0, 165.0, 122.0, 137.0], [38.0, 27.0, 165.0, 171.0, 122.0, 136.0], [110.0, 23.0, 182.0, 178.0, 128.0, 121.0], [35.0, 29.0, 219.0, 221.0, 121.0, 140.0], [33.0, 51.0, 221.0, 222.0, 119.0, 149.0], [43.0, 21.0, 172.0, 177.0, 123.0, 134.0], [0.0, 0.0, 180.0, 187.0, 128.0, 128.0], [42.0, 22.0, 170.0, 175.0, 123.0, 134.0], [105.0, 11.0, 164.0, 168.0, 127.0, 125.0], [41.0, 42.0, 188.0, 191.0, 119.0, 142.0], [40.0, 25.0, 197.0, 200.0, 122.0, 137.0], [50.0, 33.0, 183.0, 185.0, 117.0, 138.0], [51.0, 34.0, 181.0, 183.0, 117.0, 138.0], [45.0, 35.0, 174.0, 177.0, 118.0, 139.0], [40.0, 40.0, 161.0, 166.0, 120.0, 140.0], [51.0, 32.0, 183.0, 185.0, 117.0, 138.0], [54.0, 27.0, 178.0, 181.0, 118.0, 136.0], [74.0, 24.0, 134.0, 140.0, 121.0, 130.0], [0.0, 0.0, 194.0, 200.0, 128.0, 128.0], [72.0, 34.0, 204.0, 203.0, 115.0, 133.0], [41.0, 29.0, 189.0, 192.0, 121.0, 138.0], [48.0, 34.0, 183.0, 185.0, 117.0, 138.0], [50.0, 33.0, 186.0, 188.0, 117.0, 138.0], [74.0, 24.0, 136.0, 142.0, 122.0, 130.0], [50.0, 34.0, 183.0, 185.0, 117.0, 138.0], [75.0, 27.0, 133.0, 138.0, 121.0, 130.0], [49.0, 37.0, 190.0, 191.0, 116.0, 139.0], [48.0, 36.0, 193.0, 194.0, 116.0, 140.0], [57.0, 27.0, 176.0, 179.0, 118.0, 135.0], [49.0, 34.0, 184.0, 186.0, 117.0, 138.0], [40.0, 44.0, 172.0, 176.0, 119.0, 142.0], [50.0, 31.0, 165.0, 169.0, 119.0, 137.0], [52.0, 31.0, 171.0, 174.0, 118.0, 137.0], [65.0, 33.0, 184.0, 185.0, 116.0, 134.0], [60.0, 25.0, 195.0, 196.0, 118.0, 135.0], [50.0, 34.0, 174.0, 177.0, 118.0, 138.0], [53.0, 32.0, 165.0, 168.0, 118.0, 137.0], [79.0, 44.0, 203.0, 202.0, 113.0, 130.0], [52.0, 33.0, 178.0, 180.0, 117.0, 138.0], [59.0, 30.0, 193.0, 194.0, 116.0, 137.0], [50.0, 36.0, 175.0, 177.0, 117.0, 138.0], [50.0, 33.0, 176.0, 179.0, 118.0, 137.0], [60.0, 27.0, 195.0, 196.0, 116.0, 136.0], [49.0, 34.0, 173.0, 176.0, 118.0, 138.0], [52.0, 35.0, 175.0, 177.0, 117.0, 138.0], [51.0, 33.0, 174.0, 177.0, 117.0, 137.0], [54.0, 32.0, 164.0, 167.0, 118.0, 136.0]];
|
|
var coefficients = [[1.0, 0.5103328849993943, 1.0, 0.18460517859605727, 1.0, 0.0, 0.6794156464884626, 0.22175199029837298, 1.0, 0.0, -0.41406044750531895, -1.0, -0.0, -0.0, -0.0, -1.0, -0.0, -0.0, -0.0, -1.0, -0.0, -1.0, -0.0, -0.0, -1.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.18204525287696996, -0.10220756665810597, -0.0, -0.0, -0.024832739041319236, -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, 0.0775378123102272, 0.0, 0.0, 0.0, 0.02096846829461621, 0.0, 0.0, 0.0, 0.028534025094581875, 0.0, 0.0, 1.0, 1.0, 1.0, 0.0, 1.0, 0.7629692919026765, 0.8615675910756857, 0.0, 1.0, 0.0, 1.0, 1.0, 0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.0, -1.0, -1.0, -0.90466283661691, -1.0, -1.0, -1.0, -0.4956366212500156, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -0.5075148620044435, -0.7167225631069957, -1.0]];
|
|
var intercepts = [-384.0006853584271, -57.545497262241824, -277.21709072331515];
|
|
var weights = [10, 22, 16];
|
|
|
|
// Prediction:
|
|
var clf = new SVC(3, 3, vectors, coefficients, intercepts, weights, "linear", 0.02, 0.0, 3);
|
|
var prediction = clf.predict(features);
|
|
console.log(prediction);
|
|
|
|
}
|
|
} |