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authorChris Dyer <cdyer@cab.ark.cs.cmu.edu>2012-10-02 00:19:43 -0400
committerChris Dyer <cdyer@cab.ark.cs.cmu.edu>2012-10-02 00:19:43 -0400
commite26434979adc33bd949566ba7bf02dff64e80a3e (patch)
treed1c72495e3af6301bd28e7e66c42de0c7a944d1f /gi/posterior-regularisation/prjava/src/optimization/gradientBasedMethods/ConjugateGradient.java
parent0870d4a1f5e14cc7daf553b180d599f09f6614a2 (diff)
cdec cleanup, remove bayesian stuff, parsing stuff
Diffstat (limited to 'gi/posterior-regularisation/prjava/src/optimization/gradientBasedMethods/ConjugateGradient.java')
-rw-r--r--gi/posterior-regularisation/prjava/src/optimization/gradientBasedMethods/ConjugateGradient.java92
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;
- }
-
-
-
-
-
-
-}