updated examples to new interface

release-packaging/Examples/dataset/MLP-AE-dataredux.scd

@@ -29,7 +29,7 @@ FluidBufMelBands.process(s,~audio, features: ~melfeatures,action: {\done.postln;
     40.do{|i|
         bufWr = BufWr.kr(rd[i], buf, DC.kr(i));
     };
-    dsWr = FluidDataSetWr.kr(\MLP40, buf: buf, trig: Done.kr(stats));
+    dsWr = FluidDataSetWr.kr(~raw, buf: buf, trig: Done.kr(stats));
     LocalOut.kr( Done.kr(dsWr));
     FreeSelf.kr(count - 99);
 	Poll.kr(trig,count);

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

@@ -4,7 +4,7 @@ var trained = 0, entering = 0;
 var va = Array.fill(10,{0.5});
 var input = Buffer.alloc(s,2);
 var output = Buffer.alloc(s,10);
-var mlp = FluidMLPRegressor(s,[6],1,1,0,1000,0.1,0,1,0);
+var mlp = FluidMLPRegressor(s,[6],activation: 1,outputActivation: 1,maxIter: 1000,learnRate: 0.1,momentum: 0,batchSize: 1,validation: 0);
 var entry = 0;
 
 ~inData = FluidDataSet(s,\indata);

release-packaging/Examples/dataset/MLP-toy-example.scd

@@ -26,7 +26,7 @@ Routine{
 ~mlpHelpTarget.print
 
 // make an MLPregressor
-~mlp = FluidMLPRegressor(s, [3], FluidMLPRegressor.sigmoid, FluidMLPRegressor.sigmoid, 0, 1000,0.1,0.1,1,0);//1000 epoch at a time
+~mlp = FluidMLPRegressor(s, [3], FluidMLPRegressor.sigmoid, FluidMLPRegressor.sigmoid,maxIter:1000,learnRate: 0.1,momentum: 0.1,batchSize: 1,validation: 0);//1000 epoch at a time
 //train on it and observe the error
 ~mlp.fit(~mlpHelpSource,~mlpHelpTarget,{|x|x.postln;});