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Drop neural net and trained classifier
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@ -1,21 +0,0 @@
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"use strict";
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this.combined_classifier = undefined;
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Meteor.startup(function() {
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var weight = 0.8;
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var dimensions = 8;
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var input = new convnetjs.Vol(1, 1, dimensions);
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var net = new convnetjs.Net();
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net.fromJSON(TRAINED_NEURAL_NET);
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function net_classifier(features) {
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input.w = features;
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var softmax = net.forward(input).w;
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return softmax[1] - softmax[0];
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}
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combined_classifier = function(features) {
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return hand_tuned_classifier(features) + weight*net_classifier(features);
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}
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});
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