#2 - factory start

Author: obriensystems

src/main/java/dev/obrienlabs/ml/neural_network/entity/Node.java

@@ -1,5 +1,44 @@
 package dev.obrienlabs.ml.neural_network.entity;
 
+import java.util.List;
+
 public interface Node {
+	
+	long getId();
+
+	void setId(long id);
+
+	long getLayer();
+
+	void setLayer(long layer);
+
+	boolean isState();
+
+	void setState(boolean state);
+
+	Connection getInput();
+
+	void setInput(Connection input);
+
+	Connection getOutput();
+
+	void setOutput(Connection output);
+
+	List<Connection> getOutgoing();
+
+	void setOutgoing(List<Connection> outgoing);
+	
+	List<Connection> getIncoming();
+	
+	void setIncoming(List<Connection> incoming);
+
+	Node getLeft();
+
+	void setLeft(Node left);
+
+	Node getRight();
+
+	void setRight(Node right);
+	
 
 }

src/main/java/dev/obrienlabs/ml/neural_network/entity/NodeImpl.java

@@ -12,6 +12,21 @@ public class NodeImpl implements Node {
 	private List<Connection> incoming;
 	private Node left;
 	private Node right;
+	
+	
+	public NodeImpl() {
+		// synchronized by nature of the owning object's thread
+	
+	}
+	
+	// serialize object construction not at the method but at the statement level
+	public static Node instance(long layer, long neuron) {
+		Node node = new NodeImpl();
+		node.setId(Long.valueOf(Long.toString(layer) + Long.toString(neuron)));
+		
+		return node;
+	}
+	
 	public long getId() {
 		return id;
 	}

src/main/java/dev/obrienlabs/ml/neural_network/service/NeuralNetwork.java

@@ -7,6 +7,7 @@
 
 public interface NeuralNetwork {
 
+	String display();
 	List<Node> getNodes();
 	void setNodes(List<Node> nodes);
 	Node getNode(long neuron, long layer);
@@ -21,7 +22,7 @@ public interface NeuralNetwork {
 
 
 	long init();
-	long configureFullMesh(long neurons, long layers);
+	long configureFullMesh(long layers, long neurons);
 	long train();
 	long trainFor(long iterations);
 	long inference();

src/main/java/dev/obrienlabs/ml/neural_network/service/NeuralNetworkImpl.java

@@ -1,6 +1,8 @@
 package dev.obrienlabs.ml.neural_network.service;
 
 import java.util.List;
+import java.util.Map;
+import java.util.concurrent.ConcurrentHashMap;
 import java.util.stream.LongStream;
 
 import dev.obrienlabs.ml.neural_network.entity.Connection;
@@ -9,6 +11,7 @@
 
 public class NeuralNetworkImpl implements NeuralNetwork {
 
+	Map<Long, Node> nodes = new ConcurrentHashMap<>();
 
 
 	@Override
@@ -30,7 +33,7 @@ public long configureFullMesh(long neurons, long layers) {
 			LongStream.range(0, neurons).forEach(neuron -> {
 				System.out.println(layer + ":" + neuron);
 				// TODO: use a factory method
-				Node node = new NodeImpl();
+				addNode(NodeImpl.instance(layer, neuron));
 
 
 			}
@@ -83,8 +86,7 @@ public Node getNode(long neuron, long layer) {
 
 	@Override
 	public void addNode(Node node) {
-		// TODO Auto-generated method stub
-		
+		nodes.put(node.getId(), node);
 	}
 
 	@Override
@@ -129,4 +131,11 @@ public List<Connection> getConnectionsTo(Node to) {
 		return null;
 	}
 
+	@Override
+	public String display() {
+		StringBuffer buffer = new StringBuffer();
+		nodes.entrySet().stream().forEach(n -> System.out.println(n));
+		return buffer.toString();
+	}
+
 }

src/test/java/dev/obrienlabs/ml/neural_network/service/NeuralNetworkImplTest.java

@@ -7,6 +7,7 @@ public void testIteration1() {
 		nn.init();
 		nn.configureFullMesh(3, 3);
 		nn.trainFor(10L);
+		nn.display();
 
 	}