diff --git a/src/main/java/com/naaturel/ANN/implementation/training/AdalineTraining.java b/src/main/java/com/naaturel/ANN/implementation/training/AdalineTraining.java
index fbd8219..f1a2166 100644
--- a/src/main/java/com/naaturel/ANN/implementation/training/AdalineTraining.java
+++ b/src/main/java/com/naaturel/ANN/implementation/training/AdalineTraining.java
@@ -1,19 +1,11 @@
 package com.naaturel.ANN.implementation.training;
 
 import com.naaturel.ANN.domain.abstraction.Model;
-import com.naaturel.ANN.domain.abstraction.Neuron;
 import com.naaturel.ANN.domain.abstraction.Trainer;
 import com.naaturel.ANN.domain.abstraction.TrainingStep;
 import com.naaturel.ANN.domain.model.dataset.DataSet;
-import com.naaturel.ANN.domain.model.dataset.DataSetEntry;
-import com.naaturel.ANN.domain.model.neuron.Input;
-import com.naaturel.ANN.domain.model.neuron.Synapse;
-import com.naaturel.ANN.domain.model.neuron.Weight;
 import com.naaturel.ANN.domain.model.training.TrainingPipeline;
 import com.naaturel.ANN.implementation.adaline.AdalineTrainingContext;
-import com.naaturel.ANN.implementation.gradientDescent.GradientDescentCorrectionStrategy;
-import com.naaturel.ANN.implementation.gradientDescent.GradientDescentErrorStrategy;
-import com.naaturel.ANN.implementation.gradientDescent.GradientDescentTrainingContext;
 import com.naaturel.ANN.implementation.gradientDescent.SquareLossStrategy;
 import com.naaturel.ANN.implementation.simplePerceptron.SimpleCorrectionStrategy;
 import com.naaturel.ANN.implementation.simplePerceptron.SimpleDeltaStrategy;
@@ -21,7 +13,6 @@ import com.naaturel.ANN.implementation.simplePerceptron.SimpleErrorRegistrationS
 import com.naaturel.ANN.implementation.simplePerceptron.SimplePredictionStrategy;
 import com.naaturel.ANN.implementation.training.steps.*;
 
-import java.util.ArrayList;
 import java.util.List;
 
 
@@ -48,12 +39,8 @@ public class AdalineTraining implements Trainer {
 
         new TrainingPipeline(steps)
                 .stopCondition(ctx -> ctx.globalLoss <= 0.125F || ctx.epoch > 10000)
-                .beforeEpoch(ctx -> {
-                    ctx.globalLoss = 0.0F;
-                })
-                .afterEpoch(ctx -> {
-                    ctx.globalLoss /= context.dataset.size();
-                })
+                .beforeEpoch(ctx -> ctx.globalLoss = 0.0F)
+                .afterEpoch(ctx -> ctx.globalLoss /= context.dataset.size())
                 .withVerbose(true)
                 .withTimeMeasurement(true)
                 .run(context);