Tue 27 Aug 00:14:56 CEST 2024

test/test-slp2.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',
+];
+
+
+var t0=time();
+var model = ml.learn({
+    algorithm : ml.ML.SLP,
+    x : x,
+    y : y,
+    labels:classes,
+    normalize:true,
+    // bipolar:true,
+    epochs : 20000,
+});
+var t1=time()
+
+print(toJSON(model).length+' Bytes')
+print((t1-t0)+'ms');
+
+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])));
+
+print(ml.classify(model,samples[0]));