Tue 27 Aug 00:14:56 CEST 2024

test/test-mlp2.js

@@ -0,0 +1,45 @@
+var x = csv.read('test-c45-3-X.csv'),
+    y = csv.read('test-c45-3-Y.csv');
+ 
+x.shift();
+y.shift();
+
+var classes=[
+'H1None',
+'H2None',
+'H3None',
+'H4None',
+'H5None',
+'H6None',
+'H7None',
+'H8None',
+'H9None',
+'NoneNone',
+];
+
+y=y.map(function (c1) {
+  return classes.map(function (c2) {
+    return c1==c2?1:0
+  })
+})
+
+var model = ml.learn({
+    algorithm : ml.ML.MLP,
+    x : x,
+    y : y,
+    normalize:true,
+    // bipolar:true,
+    epochs : 20000,
+    hidden_layers : [4]
+});
+
+print(toJSON(model).length+' Bytes')
+
+var targets,samples = csv.read('test-c45-3-S.csv');
+samples.shift();
+targets=ml.stats.utils.column(samples,x[0].length);
+samples=ml.stats.utils.select(samples,[0,x[0].length-1]);
+
+for(var i=0;i<samples.length;i++)
+  print(classes.indexOf(targets[i]+'None'),
+        ml.stats.utils.best(ml.classify(model,samples[i])));