cdec cleanup, remove bayesian stuff, parsing stuff

1 files changed, 0 insertions, 65 deletions

diff --git a/gi/posterior-regularisation/prjava/src/optimization/gradientBasedMethods/DebugHelpers.java b/gi/posterior-regularisation/prjava/src/optimization/gradientBasedMethods/DebugHelpers.java
deleted file mode 100644
index 6dc4ef6c..00000000
--- a/gi/posterior-regularisation/prjava/src/optimization/gradientBasedMethods/DebugHelpers.java
+++ /dev/null
@@ -1,65 +0,0 @@
-package optimization.gradientBasedMethods;
-
-import java.util.ArrayList;
-
-import optimization.util.MathUtils;
-
-
-
-public class DebugHelpers {
-	public static void getLineSearchGraph(Objective o, double[] direction, 
-			double[] parameters, double originalObj,
-			double originalDot, double c1, double c2){
-		ArrayList<Double> stepS = new ArrayList<Double>();
-		ArrayList<Double> obj = new ArrayList<Double>();
-		ArrayList<Double> norm = new ArrayList<Double>();
-		double[] gradient = new double[o.getNumParameters()];
-		double[] newParameters = parameters.clone();
-		MathUtils.plusEquals(newParameters,direction,0);
-		o.setParameters(newParameters);
-		double minValue = o.getValue();
-		int valuesBiggerThanMax = 0;
-		for(double step = 0; step < 2; step +=0.01 ){
-			newParameters = parameters.clone();
-			MathUtils.plusEquals(newParameters,direction,step);
-			o.setParameters(newParameters);
-			double newValue = o.getValue();
-			gradient = o.getGradient();
-			double newgradDirectionDot = MathUtils.dotProduct(gradient,direction);
-			stepS.add(step);
-			obj.add(newValue);
-			norm.add(newgradDirectionDot);
-			if(newValue <= minValue){
-				minValue = newValue;
-			}else{
-				valuesBiggerThanMax++;
-			}
-			
-			if(valuesBiggerThanMax > 10){
-				break;
-			}
-			
-		}
-		System.out.println("step\torigObj\tobj\tsuffdec\tnorm\tcurvature1");
-		for(int i = 0; i < stepS.size(); i++){
-			double cnorm= norm.get(i); 
-			System.out.println(stepS.get(i)+"\t"+originalObj +"\t"+obj.get(i) + "\t" + 
-					(originalObj + originalDot*((Double)stepS.get(i))*c1) +"\t"+Math.abs(cnorm) +"\t"+c2*Math.abs(originalDot));
-		}
-	}
-	
-	public static double[] getNumericalGradient(Objective o, double[] parameters, double epsilon){
-		int nrParameters = o.getNumParameters();
-		double[] gradient = new double[nrParameters];
-		double[] newParameters;
-		double originalValue = o.getValue();
-		for(int parameter = 0; parameter < nrParameters; parameter++){
-			newParameters = parameters.clone();
-			newParameters[parameter]+=epsilon;
-			o.setParameters(newParameters);
-			double newValue = o.getValue();
-			gradient[parameter]=(newValue-originalValue)/epsilon;
-		}	
-		return gradient;
-	}
-}