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Allow specific input shape #99

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Allow specific input shape #99

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7 changes: 5 additions & 2 deletions src/convnet_magicnet.js
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Original file line number Diff line number Diff line change
Expand Up @@ -50,6 +50,10 @@
this.momentum_max = getopt(opt, 'momentum_max', 0.9);
this.neurons_min = getopt(opt, 'neurons_min', 5);
this.neurons_max = getopt(opt, 'neurons_max', 30);

this.input_out_sx = getopt(opt, 'input_out_sx', 1);
this.input_out_sy = getopt(opt, 'input_out_sy', 1);
this.input_out_depth = getopt(opt, 'input_out_depth', this.data[0].w.length);

// computed
this.folds = []; // data fold indices, gets filled by sampleFolds()
Expand Down Expand Up @@ -85,12 +89,11 @@

// returns a random candidate network
sampleCandidate: function() {
var input_depth = this.data[0].w.length;
var num_classes = this.unique_labels.length;

// sample network topology and hyperparameters
var layer_defs = [];
layer_defs.push({type:'input', out_sx:1, out_sy:1, out_depth: input_depth});
layer_defs.push({type: 'input', out_sx: this.input_out_sx, out_sy: this.input_out_sy, out_depth: this.input_out_depth});
var nl = weightedSample([0,1,2,3], [0.2, 0.3, 0.3, 0.2]); // prefer nets with 1,2 hidden layers
for(var q=0;q<nl;q++) {
var ni = randi(this.neurons_min, this.neurons_max);
Expand Down