updated chaossynth with more parameter to play with the MLP

release-packaging/Examples/dataset/MLP-synth-control.scd

@@ -6,7 +6,9 @@ var input = Buffer.alloc(s,2);
 var output = Buffer.alloc(s,10);
 var maxIter = 1000;
 var learnRate = 0.01;
-var mlp = FluidMLPRegressor(s,[6],1,maxIter,learnRate);
+var momentum = 0.5;
+var validation = 0.1;
+var mlp = FluidMLPRegressor(s,[6],1,maxIter,learnRate,momentum,1,validation);
 var entry = 0;
 
 ~inData = FluidDataSet(s,\indata);
@@ -52,10 +54,14 @@ d = Button(w, Rect(730,10,50, 20)).states_([["entry", Color.white, Color.grey],
 };
 StaticText(w,Rect(732,260,50,20)).string_("Error:");
 e = TextField(w,Rect(730,280,50,20)).string_(0.asString);
-StaticText(w,Rect(732,150,50,20)).string_("rate:");
-g = TextField(w,Rect(730,170,50,20)).string_(learnRate.asString).action_{|in|learnRate = in.value;};
-StaticText(w,Rect(732,190,50,20)).string_("maxIter:");
-h = TextField(w,Rect(730,210,50,20)).string_(maxIter.asString).action_{|in|maxIter = in.value;};
+StaticText(w,Rect(732,70,50,20)).string_("rate:");
+TextField(w,Rect(730,90,50,20)).string_(learnRate.asString).action_{|in|learnRate = in.value;learnRate.postln;};
+StaticText(w,Rect(732,110,50,20)).string_("momentum:");
+TextField(w,Rect(730,130,50,20)).string_(momentum.asString).action_{|in|momentum = in.value;momentum.postln;};
+StaticText(w,Rect(732,150,50,20)).string_("maxIter:");
+TextField(w,Rect(730,170,50,20)).string_(maxIter.asString).action_{|in|maxIter = in.value;maxIter.postln;};
+StaticText(w,Rect(732,190,50,20)).string_("validation:");
+TextField(w,Rect(730,210,50,20)).string_(validation.asString).action_{|in|validation = in.value;validation.postln;};
 )
 
 //2- the synth (CAREFUL - LOUD!)