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Try out combined model

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Shaunak Kishore
2015-09-13 00:10:50 -04:00
parent 7b467e34be
commit 515014d39a
1 changed files with 13 additions and 2 deletions
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15
server/training.js
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@ -10,7 +10,7 @@ function evaluate(glyphs, classifier) {
Meteor.startup(function() { Meteor.startup(function() {
var glyphs = Glyphs.find({'manual.verified': true}).fetch(); var glyphs = Glyphs.find({'manual.verified': true}).fetch();
var sample = _.sample(glyphs, 100); var sample = _.sample(glyphs, 400);
console.log('Hand-tuned accuracy:', evaluate(sample, hand_tuned_classifier)); console.log('Hand-tuned accuracy:', evaluate(sample, hand_tuned_classifier));
var training_data = []; var training_data = [];
@ -42,7 +42,7 @@ Meteor.startup(function() {
var input = new convnetjs.Vol(1, 1, 8); var input = new convnetjs.Vol(1, 1, 8);
for (var iteration = 0; iteration < 10; iteration++) { for (var iteration = 0; iteration < 10; iteration++) {
var loss = 0; var loss = 0;
var round_data = _.sample(training_data, 1000); var round_data = _.sample(training_data, 4000);
for (var i = 0; i < round_data.length; i++) { for (var i = 0; i < round_data.length; i++) {
assert(input.w.length === round_data[i][0].length); assert(input.w.length === round_data[i][0].length);
input.w = round_data[i][0]; input.w = round_data[i][0];
@ -62,4 +62,15 @@ Meteor.startup(function() {
return softmax[1] - softmax[0]; return softmax[1] - softmax[0];
} }
console.log('Neural-net accuracy:', evaluate(sample, net_classifier)); console.log('Neural-net accuracy:', evaluate(sample, net_classifier));
function combined_classifier(weight) {
return function(features) {
return hand_tuned_classifier(features) + weight*net_classifier(features);
}
}
var weights = [0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1];
for (var i = 0; i < weights.length; i++) {
console.log('Weight', weights[i], 'combined accuracy:',
evaluate(sample, combined_classifier(weights[i])));
}
}); });