cdec cleanup, remove bayesian stuff, parsing stuff

1 files changed, 0 insertions, 92 deletions

diff --git a/gi/posterior-regularisation/prjava/src/optimization/gradientBasedMethods/ConjugateGradient.java b/gi/posterior-regularisation/prjava/src/optimization/gradientBasedMethods/ConjugateGradient.java
deleted file mode 100644
index 28295729..00000000
--- a/gi/posterior-regularisation/prjava/src/optimization/gradientBasedMethods/ConjugateGradient.java
+++ /dev/null
@@ -1,92 +0,0 @@
-package optimization.gradientBasedMethods;
-
-import optimization.gradientBasedMethods.stats.OptimizerStats;
-import optimization.linesearch.DifferentiableLineSearchObjective;
-import optimization.linesearch.LineSearchMethod;
-import optimization.stopCriteria.StopingCriteria;
-import optimization.util.MathUtils;
-
-
-
-public class ConjugateGradient extends AbstractGradientBaseMethod{
-	
-	
-	double[] previousGradient;
-	double[] previousDirection;
-
-	public ConjugateGradient(LineSearchMethod lineSearch) {
-		this.lineSearch = lineSearch;
-	}
-	
-	public void reset(){
-		super.reset();
-		java.util.Arrays.fill(previousDirection, 0);
-		java.util.Arrays.fill(previousGradient, 0);
-	}
-	
-	public void initializeStructures(Objective o,OptimizerStats stats, StopingCriteria stop){
-		super.initializeStructures(o, stats, stop);
-		previousGradient = new double[o.getNumParameters()];
-		previousDirection = new double[o.getNumParameters()];
-	}
-	public void updateStructuresBeforeStep(Objective o,OptimizerStats stats, StopingCriteria stop){
-		System.arraycopy(gradient, 0, previousGradient, 0, gradient.length);
-		System.arraycopy(direction, 0, previousDirection, 0, direction.length);	
-	}
-	
-//	public boolean optimize(Objective o,OptimizerStats stats, StopingCriteria stop){
-//		DifferentiableLineSearchObjective lso = new DifferentiableLineSearchObjective(o);
-//		stats.collectInitStats(this, o);
-//		direction = new double[o.getNumParameters()];
-//		initializeStructures(o, stats, stop);
-//		for (currentProjectionIteration = 0; currentProjectionIteration < maxNumberOfIterations; currentProjectionIteration++){
-//			previousValue = currValue;
-//			currValue = o.getValue();
-//			gradient =o.getGradient();
-//			if(stop.stopOptimization(gradient)){
-//				stats.collectFinalStats(this, o);
-//				return true;
-//			}
-//			getDirection();
-//			updateStructures(o, stats, stop);
-//			lso.reset(direction);
-//			step = lineSearch.getStepSize(lso);	
-//			if(step==-1){
-//				System.out.println("Failed to find a step size");
-//				System.out.println("Failed to find step");
-//				stats.collectFinalStats(this, o);
-//				return false;	
-//			}
-//			
-//			stats.collectIterationStats(this, o);
-//		}
-//		stats.collectFinalStats(this, o);
-//		return false;
-//	}
-	
-	public double[] getDirection(){
-		direction = MathUtils.negation(gradient);
-		if(currentProjectionIteration != 1){
-			//Using Polak-Ribiere method (book equation 5.45)
-			double b = MathUtils.dotProduct(gradient, MathUtils.arrayMinus(gradient, previousGradient))
-			/MathUtils.dotProduct(previousGradient, previousGradient);
-			if(b<0){
-				System.out.println("Defaulting to gradient descent");
-				b = Math.max(b, 0);
-			}
-			MathUtils.plusEquals(direction, previousDirection, b);
-			//Debug code
-			if(MathUtils.dotProduct(direction, gradient) > 0){
-				System.out.println("Not an descent direction reseting to gradien");
-				direction = MathUtils.negation(gradient);
-			}
-		}
-		return direction;
-	}
-	
-	
-	
-
-
-
-}