diff --git a/eraser.starter/src/main/java/de/tudresden/inf/st/eraser/starter/EraserStarter.java b/eraser.starter/src/main/java/de/tudresden/inf/st/eraser/starter/EraserStarter.java
index 2e5f36c47511c8df6c000ff3e3648c7c20e926e3..b207dc5fb16ff63b5601b3bab92a1b33b29c1241 100644
--- a/eraser.starter/src/main/java/de/tudresden/inf/st/eraser/starter/EraserStarter.java
+++ b/eraser.starter/src/main/java/de/tudresden/inf/st/eraser/starter/EraserStarter.java
@@ -10,6 +10,7 @@ import de.tudresden.inf.st.eraser.feedbackloop.api.Learner;
 import de.tudresden.inf.st.eraser.feedbackloop.api.Plan;
 import de.tudresden.inf.st.eraser.feedbackloop.api.model.Model;
 import de.tudresden.inf.st.eraser.feedbackloop.execute.ExecuteImpl;
+import de.tudresden.inf.st.eraser.feedbackloop.learner.LearnerHelper;
 import de.tudresden.inf.st.eraser.feedbackloop.learner.LearnerImpl;
 import de.tudresden.inf.st.eraser.feedbackloop.plan.PlanImpl;
 import de.tudresden.inf.st.eraser.jastadd.model.DummyMachineLearningModel;
diff --git a/eraser.starter/src/main/java/de/tudresden/inf/st/eraser/starter/LearnerHelper.java b/feedbackloop.learner/src/main/java/de/tudresden/inf/st/eraser/feedbackloop/learner/LearnerHelper.java
similarity index 96%
rename from eraser.starter/src/main/java/de/tudresden/inf/st/eraser/starter/LearnerHelper.java
rename to feedbackloop.learner/src/main/java/de/tudresden/inf/st/eraser/feedbackloop/learner/LearnerHelper.java
index 0c180ca7f0db474a1dcdb14c5ec547edead0dbff..c33928e0820cbab26f6a87b15fde5fa69f3b9a5b 100644
--- a/eraser.starter/src/main/java/de/tudresden/inf/st/eraser/starter/LearnerHelper.java
+++ b/feedbackloop.learner/src/main/java/de/tudresden/inf/st/eraser/feedbackloop/learner/LearnerHelper.java
@@ -1,4 +1,4 @@
-package de.tudresden.inf.st.eraser.starter;
+package de.tudresden.inf.st.eraser.feedbackloop.learner;
 
 import de.tudresden.inf.st.eraser.feedbackloop.api.model.Model;
 import de.tudresden.inf.st.eraser.jastadd.model.*;
@@ -17,11 +17,11 @@ import java.util.List;
 import java.util.stream.Collectors;
 
 /**
- * Transformation of a {@link Model} into a {@link MachineLearningModel}.
+ * Transformation of a {@link Model} into a {@link NeuralNetworkRoot}.
  *
  * @author rschoene - Initial contribution
  */
-class LearnerHelper {
+public class LearnerHelper {
 
   private static final Logger logger = LogManager.getLogger(LearnerHelper.class);
 
@@ -30,7 +30,7 @@ class LearnerHelper {
   private static DoubleArrayDoubleFunction tanh = inputs -> Math.tanh(Arrays.stream(inputs).sum());
   private static DoubleArrayDoubleFunction function_one = inputs -> 1.0;
 
-  static NeuralNetworkRoot transform(Model model) {
+  public static NeuralNetworkRoot transform(Model model) {
     NeuralNetworkRoot result = NeuralNetworkRoot.createEmpty();
     List<Double> weights = model.getWeights();
     logger.debug("Got {} weights", weights.size());
diff --git a/feedbackloop.learner/src/main/java/de/tudresden/inf/st/eraser/feedbackloop/learner/Main.java b/feedbackloop.learner/src/main/java/de/tudresden/inf/st/eraser/feedbackloop/learner/Main.java
index 2f91a3a3525d6a22d1f9b8a880790ce8981ec9c5..19765c1e6df76fb2e2701b3a5eebb2e302728b6e 100644
--- a/feedbackloop.learner/src/main/java/de/tudresden/inf/st/eraser/feedbackloop/learner/Main.java
+++ b/feedbackloop.learner/src/main/java/de/tudresden/inf/st/eraser/feedbackloop/learner/Main.java
@@ -1,24 +1,19 @@
 package de.tudresden.inf.st.eraser.feedbackloop.learner;
 
 import de.tudresden.inf.st.eraser.feedbackloop.api.Learner;
-import de.tudresden.inf.st.eraser.feedbackloop.api.model.*;
+import de.tudresden.inf.st.eraser.feedbackloop.api.model.Model;
 import de.tudresden.inf.st.eraser.jastadd.model.*;
 import org.apache.commons.math3.stat.StatUtils;
 import org.apache.logging.log4j.LogManager;
 import org.apache.logging.log4j.Logger;
-import org.encog.ml.data.MLData;
-import org.encog.ml.data.versatile.NormalizationHelper;
 
 import java.io.File;
-import java.nio.file.Path;
 import java.nio.file.Paths;
 import java.util.ArrayList;
 import java.util.Arrays;
 import java.util.Collections;
 import java.util.List;
-import java.util.concurrent.TimeUnit;
 import java.util.function.Function;
-import java.util.stream.Collectors;
 
 @SuppressWarnings("unused")
 public class Main {
@@ -70,6 +65,7 @@ public class Main {
 				InitialDataConfig.inputMaxes, InitialDataConfig.inputMins,
 				InitialDataConfig.targetMaxes, InitialDataConfig.targetMins);
 		printModel(learner.getTrainedModel(1));
+    NeuralNetworkRoot eraserModel = LearnerHelper.transform(learner.getTrainedModel(1));
 	}
 
 	private static void printModel(Model model) {