cdec cleanup, remove bayesian stuff, parsing stuff

1 files changed, 0 insertions, 120 deletions

diff --git a/gi/posterior-regularisation/prjava/src/optimization/gradientBasedMethods/AbstractGradientBaseMethod.java b/gi/posterior-regularisation/prjava/src/optimization/gradientBasedMethods/AbstractGradientBaseMethod.java
deleted file mode 100644
index 2fcb7990..00000000
--- a/gi/posterior-regularisation/prjava/src/optimization/gradientBasedMethods/AbstractGradientBaseMethod.java
+++ /dev/null
@@ -1,120 +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;
-
-/**
- * 
- * @author javg
- *
- */
-public abstract class AbstractGradientBaseMethod implements Optimizer{
-	
-	protected int maxNumberOfIterations=10000;
-	
-	
-	
-	protected int currentProjectionIteration;
-	protected double currValue;	
-	protected double previousValue = Double.MAX_VALUE;;
-	protected double step;
-	protected double[] gradient;
-	public double[] direction;
-	
-	//Original values
-	protected double originalGradientL2Norm;
-	
-	protected LineSearchMethod lineSearch;
-	DifferentiableLineSearchObjective lso;
-	
-	
-	public void reset(){
-		direction = null;
-		gradient = null;
-		previousValue = Double.MAX_VALUE;
-		currentProjectionIteration = 0;
-		originalGradientL2Norm = 0;
-		step = 0;
-		currValue = 0;
-	}
-	
-	public void initializeStructures(Objective o,OptimizerStats stats, StopingCriteria stop){
-		lso =   new DifferentiableLineSearchObjective(o);
-	}
-	public void updateStructuresBeforeStep(Objective o,OptimizerStats stats, StopingCriteria stop){
-	}
-	
-	public void updateStructuresAfterStep(Objective o,OptimizerStats stats, StopingCriteria stop){
-	}
-	
-	public boolean optimize(Objective o,OptimizerStats stats, StopingCriteria stop){
-		//Initialize structures
-			
-		stats.collectInitStats(this, o);
-		direction = new double[o.getNumParameters()];
-		initializeStructures(o, stats, stop);
-		for (currentProjectionIteration = 1; currentProjectionIteration < maxNumberOfIterations; currentProjectionIteration++){
-			//System.out.println("\tgradient descent iteration " + currentProjectionIteration);
-			//System.out.print("\tparameters:" );
-			//o.printParameters();
-			previousValue = currValue;
-			currValue = o.getValue();
-			gradient = o.getGradient();
-			if(stop.stopOptimization(o)){
-				stats.collectFinalStats(this, o);
-				return true;
-			}	
-			
-			getDirection();
-			if(MathUtils.dotProduct(gradient, direction) > 0){
-				System.out.println("Not a descent direction");
-				System.out.println(" current stats " + stats.prettyPrint(1));
-				System.exit(-1);
-			}
-			updateStructuresBeforeStep(o, stats, stop);
-			lso.reset(direction);
-			step = lineSearch.getStepSize(lso);
-			//System.out.println("\t\tLeave with step: " + step);
-			if(step==-1){
-				System.out.println("Failed to find step");
-				stats.collectFinalStats(this, o);
-				return false;		
-			}
-			updateStructuresAfterStep( o, stats,  stop);
-//			previousValue = currValue;
-//			currValue = o.getValue();
-//			gradient = o.getGradient();
-			stats.collectIterationStats(this, o);
-		}
-		stats.collectFinalStats(this, o);
-		return false;
-	}
-	
-	
-	public int getCurrentIteration() {
-		return currentProjectionIteration;
-	}
-
-	
-	/**
-	 * Method specific
-	 */
-	public abstract double[] getDirection();
-
-	public double getCurrentStep() {
-		return step;
-	}
-
-
-
-	public void setMaxIterations(int max) {
-		maxNumberOfIterations = max;
-	}
-
-	public double getCurrentValue() {
-		return currValue;
-	}
-}