Fix the bug with the output normalization in the classifier

Author: chen0040

src/main/java/com/github/chen0040/mlp/ann/MLP.java

@@ -75,7 +75,7 @@ public void train(DataFrame batch, int training_epoches)
 
                         double[] target = getTarget(row);
 
-                        if (outputNormalization != null) {
+                        if (normalizeOutputs) {
                             target = outputNormalization.standardize(target);
                         }
 
@@ -128,7 +128,7 @@ public void train(DataFrame batch, int training_epoches)
 
                         double[] target = getTarget(row);
 
-                        if (outputNormalization != null) {
+                        if (normalizeOutputs) {
                             target = outputNormalization.standardize(target);
                         }
 

src/test/java/com/github/chen0040/mlp/ann/regression/MLPRegressionUnitTest.java

@@ -42,7 +42,7 @@ public static double randn(){
       return r * Math.sin(theta);
    }
 
-  
+
 
    @Test
    public void test_simple_regression() {