Added nodes, refactored Kernels

Author: dmi3coder

.idea/dictionaries/dmi3y.xml

@@ -11,9 +11,10 @@ Predict what users want to open and take appropriate actions
     1. `RemoteKernel`, sends data to a API, depending on type of an API receives suggested action or receives model
 1. Set threshold after which Behaiv can start suggesting
 1. Register each view that can be tracked and opened by implementing interfaces
-    1. `Actionable` is a type of view that can be opened by *Behaiv*
-    1. `Routable` is a type of View that only cannot be opened but only route into next Views
-    1. `Conditionable` is a type of View which will perform additional actions before proceeding
+    1. `InitiableNode` is a type of view that can initiate capturing of features
+    1. `ActionableNode` is a type of view that can be opened by *Behaiv*, as well as capture labels
+    1. `RoutableNode` is a type of View that only cannot be opened but only route into next Views
+    1. `ConditionableNode` is a type of View which will perform additional actions before proceeding
 1. Provide external factors sich as GPS, Wifi/Bluetooth and headphons info.
     1. Use `GeoProvider` for adding GPS feature into prediction
     1. Use `NetworkProvider` for adding Wifi, Bluetooth and Network features into prediction

.idea/workspace.xml

@@ -3,8 +3,29 @@
  */
 package de.dmi3y.behaiv;
 
+import de.dmi3y.behaiv.kernel.Kernel;
+
 public class Behaiv {
-    public boolean someLibraryMethod() {
-        return true;
+
+    private Kernel kernel;
+
+    private Behaiv() {
+
+    }
+
+    public synchronized static Behaiv with(Kernel kernel) {
+        Behaiv behaiv = new Behaiv();
+        behaiv.setKernel(kernel);
+        return behaiv;
+
+    }
+
+    public Behaiv setKernel(Kernel kernel){
+        this.kernel = kernel;
+        return this;
+    }
+
+    public Behaiv setBehaivNode() {
+        return this;
     }
 }

docs/img/get_features_flow.png

@@ -7,17 +7,6 @@
 
 public class DummyKernel extends Kernel {
 
-    private ArrayList<Pair<ArrayList<Double>, String>> data;
-
-    @Override
-    public void fit(ArrayList<Pair<ArrayList<Double>, String>> data) {
-        this.data = data;
-    }
-
-    @Override
-    public void update(ArrayList<Pair<ArrayList<Double>, String>> data) {
-    }
-
     @Override
     public String predictOne(ArrayList<Double> features) {
 

docs/img/get_prediction_flow.png

@@ -6,9 +6,24 @@
 
 public abstract class Kernel {
 
-    public abstract void fit(ArrayList<Pair<ArrayList<Double>, String>> data);
+    private Long treshold = 10L;
 
-    public abstract void update(ArrayList<Pair<ArrayList<Double>, String>> data);
+    protected ArrayList<Pair<ArrayList<Double>, String>> data;
+
+    public void fit(ArrayList<Pair<ArrayList<Double>, String>> data) {
+        this.data = data;
+    }
+
+    public void setTreshold(Long treshold) {
+        this.treshold = treshold;
+    }
+
+    public boolean readyToPredict() {
+        return data.size() > treshold;
+    }
+
+    public void update(ArrayList<Pair<ArrayList<Double>, String>> data) {
+    }
 
     public abstract String predictOne(ArrayList<Double> features);
 }

readme.md

@@ -0,0 +1,8 @@
+package de.dmi3y.behaiv.node;
+
+import de.dmi3y.behaiv.Behaiv;
+
+public interface ActionableNode {
+    void register(Behaiv behaiv);
+    void captureResult(Behaiv behaiv);
+}

src/main/java/de/dmi3y/behaiv/Behaiv.java

@@ -0,0 +1,4 @@
+package de.dmi3y.behaiv.node;
+
+public interface BehaivNode {
+}