From 925087356b853e2099c1b60d8b757d7aa02121a9 Mon Sep 17 00:00:00 2001 From: Chris Dyer Date: Tue, 2 Oct 2012 00:19:43 -0400 Subject: cdec cleanup, remove bayesian stuff, parsing stuff --- .../DifferentiableLineSearchObjective.java | 185 --------------------- 1 file changed, 185 deletions(-) delete mode 100644 gi/posterior-regularisation/prjava/src/optimization/linesearch/DifferentiableLineSearchObjective.java (limited to 'gi/posterior-regularisation/prjava/src/optimization/linesearch/DifferentiableLineSearchObjective.java') diff --git a/gi/posterior-regularisation/prjava/src/optimization/linesearch/DifferentiableLineSearchObjective.java b/gi/posterior-regularisation/prjava/src/optimization/linesearch/DifferentiableLineSearchObjective.java deleted file mode 100644 index a5bc958e..00000000 --- a/gi/posterior-regularisation/prjava/src/optimization/linesearch/DifferentiableLineSearchObjective.java +++ /dev/null @@ -1,185 +0,0 @@ -package optimization.linesearch; - -import gnu.trove.TDoubleArrayList; -import gnu.trove.TIntArrayList; - -import java.util.ArrayList; -import java.util.Arrays; -import java.util.Collections; -import java.util.Comparator; - -import optimization.gradientBasedMethods.Objective; -import optimization.util.MathUtils; -import optimization.util.StaticTools; - - - -import util.MathUtil; -import util.Printing; - - -/** - * A wrapper class for the actual objective in order to perform - * line search. The optimization code assumes that this does a lot - * of caching in order to simplify legibility. For the applications - * we use it for, caching the entire history of evaluations should be - * a win. - * - * Note: the lastEvaluatedAt value is very important, since we will use - * it to avoid doing an evaluation of the gradient after the line search. - * - * The differentiable line search objective defines a search along the ray - * given by a direction of the main objective. - * It defines the following function, - * where f is the original objective function: - * g(alpha) = f(x_0 + alpha*direction) - * g'(alpha) = f'(x_0 + alpha*direction)*direction - * - * @author joao - * - */ -public class DifferentiableLineSearchObjective { - - - - Objective o; - int nrIterations; - TDoubleArrayList steps; - TDoubleArrayList values; - TDoubleArrayList gradients; - - //This variables cannot change - public double[] originalParameters; - public double[] searchDirection; - - - /** - * Defines a line search objective: - * Receives: - * Objective to each we are performing the line search, is used to calculate values and gradients - * Direction where to do the ray search, note that the direction does not depend of the - * objective but depends from the method. - * @param o - * @param direction - */ - public DifferentiableLineSearchObjective(Objective o) { - this.o = o; - originalParameters = new double[o.getNumParameters()]; - searchDirection = new double[o.getNumParameters()]; - steps = new TDoubleArrayList(); - values = new TDoubleArrayList(); - gradients = new TDoubleArrayList(); - } - /** - * Called whenever we start a new iteration. - * Receives the ray where we are searching for and resets all values - * - */ - public void reset(double[] direction){ - //Copy initial values - System.arraycopy(o.getParameters(), 0, originalParameters, 0, o.getNumParameters()); - System.arraycopy(direction, 0, searchDirection, 0, o.getNumParameters()); - - //Initialize variables - nrIterations = 0; - steps.clear(); - values.clear(); - gradients.clear(); - - values.add(o.getValue()); - gradients.add(MathUtils.dotProduct(o.getGradient(),direction)); - steps.add(0); - } - - - /** - * update the current value of alpha. - * Takes a step with that alpha in direction - * Get the real objective value and gradient and calculate all required information. - */ - public void updateAlpha(double alpha){ - if(alpha < 0){ - System.out.println("alpha may not be smaller that zero"); - throw new RuntimeException(); - } - nrIterations++; - steps.add(alpha); - //x_t+1 = x_t + alpha*direction - System.arraycopy(originalParameters,0, o.getParameters(), 0, originalParameters.length); - MathUtils.plusEquals(o.getParameters(), searchDirection, alpha); - o.setParameters(o.getParameters()); -// System.out.println("Took a step of " + alpha + " new value " + o.getValue()); - values.add(o.getValue()); - gradients.add(MathUtils.dotProduct(o.getGradient(),searchDirection)); - } - - - - public int getNrIterations(){ - return nrIterations; - } - - /** - * return g(alpha) for the current value of alpha - * @param iter - * @return - */ - public double getValue(int iter){ - return values.get(iter); - } - - public double getCurrentValue(){ - return values.get(nrIterations); - } - - public double getOriginalValue(){ - return values.get(0); - } - - /** - * return g'(alpha) for the current value of alpha - * @param iter - * @return - */ - public double getGradient(int iter){ - return gradients.get(iter); - } - - public double getCurrentGradient(){ - return gradients.get(nrIterations); - } - - public double getInitialGradient(){ - return gradients.get(0); - } - - - - - public double getAlpha(){ - return steps.get(nrIterations); - } - - public void printLineSearchSteps(){ - System.out.println( - " Steps size "+steps.size() + - "Values size "+values.size() + - "Gradeients size "+gradients.size()); - for(int i =0; i < steps.size();i++){ - System.out.println("Iter " + i + " step " + steps.get(i) + - " value " + values.get(i) + " grad " + gradients.get(i)); - } - } - - public void printSmallLineSearchSteps(){ - for(int i =0; i < steps.size();i++){ - System.out.print(StaticTools.prettyPrint(steps.get(i), "0.0000E00",8) + " "); - } - System.out.println(); - } - - public static void main(String[] args) { - - } - -} -- cgit v1.2.3