Base infrastructure

src/BaseEvaluator.java

@@ -1,17 +1,20 @@
 
 public class BaseEvaluator implements Evaluator{
 
-    WeightsParser wp;
+    // meant for beta to use
+    // when beta should use alpha's weights, have alpha commit to beta.csv and then call refreshWeights()
+
+    protected WeightsParser wp;
     String file;
-    double[] weights;
+    protected double[] weights;
 
     public BaseEvaluator(String file){
         this.wp = new WeightsParser();
         this.file = file;
         this.weights = this.wp.getWeights(file);
     }
 
-    private double dot(double[] a1, double[] a2){
+    private double dot(double[] a1, double[] a2){ // function for dot product
         double res = 0;
         for(int i = 0; i < a1.length; i++){
             res += (a1[i] * a2[i]);
@@ -24,6 +27,10 @@ public double evaluate(CheckersGameState s, int player){
         return dot(this.weights, params);
     }
 
+    public void refreshWeights(){
+        this.weights = this.wp.getWeights(this.file);
+    }
+
 
 }
 

src/LearningEvaluator.java

@@ -0,0 +1,36 @@
+import java.util.ArrayList;
+import org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression;
+
+public class LearningEvaluator extends BaseEvaluator{
+
+    ArrayList<double[]> params;
+    ArrayList<Double> values;
+    double alpha; // learning parameter, higher alpha means weights are closer to the regression output
+                  // alpha of 1 is directly setting weights to be regression weights
+                  // ideally we start at 1 and lower alpha to get a convergence
+
+    public LearningEvaluator(String file, double alpha){
+        super(file);
+        params = new ArrayList<double[]>();
+        values = new ArrayList<Double>();
+        this.alpha = alpha;
+
+    }
+
+    public void setAlpha(double a){
+        alpha = a;
+    }
+
+    public void add_data(double[] features, double value){
+        values.add(value);
+        params.add(features);
+    }
+
+    public void commitWeights(String path){
+        this.wp.writeWeights(path, this.weights); // method to commit weights to beta. provide path to beta csv
+    }
+
+
+
+
+}

src/weights/alpha.csv

@@ -0,0 +1,3 @@
+10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10
+10.0, 10.0, 10.0, 10.0, 10.0, 75.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0
+10.0, 10.0, 10.0, 10.0, 10.0, 75.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0

src/weights/beta.csv

@@ -0,0 +1 @@
+10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10